Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Data Governance MDM Analyst. Candidate will act as a liaison and translation layer between business and technical teams and operate at system- and detailed technical level for analysis purposes. Implement and support Metadata Management, Data Lineage, Data Quality and other essential Data Governance functions. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Perform other duties as assigned. Qualifications: Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Structured Query Language (SQL) Data Governance Tools example Collibra, IBM ISEE, Informatica etc. Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred.
05/02/2025
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Data Governance MDM Analyst. Candidate will act as a liaison and translation layer between business and technical teams and operate at system- and detailed technical level for analysis purposes. Implement and support Metadata Management, Data Lineage, Data Quality and other essential Data Governance functions. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Perform other duties as assigned. Qualifications: Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Structured Query Language (SQL) Data Governance Tools example Collibra, IBM ISEE, Informatica etc. Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Technical Data Analysis. This person will be the liaison between business/technical teams and will be focused on supporting and implementing data quality, Metadata management, data lineage, data mapping, data governance, etc. This person will need to be proficient with SQL data structure and will work within the Collibra Platform. This person must come from a financial company. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Qualifications: Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Data Governance Tools example Collibra, IBM ISEE, Informatica etc.
04/02/2025
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Technical Data Analysis. This person will be the liaison between business/technical teams and will be focused on supporting and implementing data quality, Metadata management, data lineage, data mapping, data governance, etc. This person will need to be proficient with SQL data structure and will work within the Collibra Platform. This person must come from a financial company. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Qualifications: Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Data Governance Tools example Collibra, IBM ISEE, Informatica etc.
Contract Technical Business Data Governance Analyst Rate: Open Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's or Masters degree in data analytics, computer science or related field. Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc. Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Experience with metadata management Responsibilities Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership
04/02/2025
Project-based
Contract Technical Business Data Governance Analyst Rate: Open Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's or Masters degree in data analytics, computer science or related field. Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc. Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Experience with metadata management Responsibilities Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership
InfraView - Specialist Cloud & IT Infrastructure Technology Recruitmen
CRM Manager - HubSpot/Sales/Marketing - £60,000 Do you want to own CRM from a sales and marketing perspective? Drive best practice across Hubspot? Be a key driver in developing their ServicePath offering? Work with C level team to promote CRM excellence to sales and marketing teams This amazing role could be a game changer for your career. It will give you the opportunity to work directly with C level team at a multi award winning MSP to transform the way their sales and marketing CRM is utilized across their business. You'll have full ownership of the CRM, how its delivered, how its trained and the efficiency of how it works is essential for the smooth running of their business. ally exciting time in their business with lots of growth, lots of opportunity to develop and lots going on! So someone who can adapt and work at a quick pace is essential. RESPONSIBILITIES Consolidate existing CRM products into HubSpot/ServicePath - some of the Legacy platforms aren't even being used or are out of date! Develop and communicate a clear product vision for Sales & Marketing systems, considering market trends, customer feedback, and business objectives. Collaborate with cross-functional teams to define product goals and work with the Product Owners to agree long-term strategy. Own the product roadmap, prioritising features and enhancements based on customer impact, business value, and technical feasibility Translate high-level business requirements into actionable product features and user stories. Facilitate workshops and gather requirements from stakeholders, including end-users, business analysts, and technical teams. Ensure alignment between business processes and Sales & Marketing system capabilities. Work closely with the operational and development teams to ensure timely delivery of product features. Define acceptance criteria and collaborate on testing efforts Regularly update stakeholders on product progress, milestones, and upcoming releases. Champion the product and advocate for its value proposition. Analyse system usage data, financials, licensing costs and benefits to provide insights to craft decisions and demonstrate success. Engage Node4's Sales & Marketing community to ensure the systems embrace the latest best practice and governance. REQUIRED SKILLS & QUALIFICATIONS 2 years experience in managing CRM platforms, preferably in a sales & marketing context. Excellent verbal and written communication skills, with the ability to convey complex ideas concisely. Proven ability to work collaboratively with cross-functional teams, including engineering, design, sales, and marketing. Strong analytical and problem-solving skills, including a methodical approach to product development and documentation. The confidence to delve into business requirements and make recommendations to senior stakeholders and Directors. Full project life cycle experience, utilising Waterfall, Agile and DevOps methods as needed. DESIRABLE SKILLS & QUALIFICATIONS HubSpot DemandBase Salesforce QuotaPath ServicePath Please hit the button to Apply and/email (see below) or call Jimmy Hearne at InfraView for further info.
04/02/2025
Full time
CRM Manager - HubSpot/Sales/Marketing - £60,000 Do you want to own CRM from a sales and marketing perspective? Drive best practice across Hubspot? Be a key driver in developing their ServicePath offering? Work with C level team to promote CRM excellence to sales and marketing teams This amazing role could be a game changer for your career. It will give you the opportunity to work directly with C level team at a multi award winning MSP to transform the way their sales and marketing CRM is utilized across their business. You'll have full ownership of the CRM, how its delivered, how its trained and the efficiency of how it works is essential for the smooth running of their business. ally exciting time in their business with lots of growth, lots of opportunity to develop and lots going on! So someone who can adapt and work at a quick pace is essential. RESPONSIBILITIES Consolidate existing CRM products into HubSpot/ServicePath - some of the Legacy platforms aren't even being used or are out of date! Develop and communicate a clear product vision for Sales & Marketing systems, considering market trends, customer feedback, and business objectives. Collaborate with cross-functional teams to define product goals and work with the Product Owners to agree long-term strategy. Own the product roadmap, prioritising features and enhancements based on customer impact, business value, and technical feasibility Translate high-level business requirements into actionable product features and user stories. Facilitate workshops and gather requirements from stakeholders, including end-users, business analysts, and technical teams. Ensure alignment between business processes and Sales & Marketing system capabilities. Work closely with the operational and development teams to ensure timely delivery of product features. Define acceptance criteria and collaborate on testing efforts Regularly update stakeholders on product progress, milestones, and upcoming releases. Champion the product and advocate for its value proposition. Analyse system usage data, financials, licensing costs and benefits to provide insights to craft decisions and demonstrate success. Engage Node4's Sales & Marketing community to ensure the systems embrace the latest best practice and governance. REQUIRED SKILLS & QUALIFICATIONS 2 years experience in managing CRM platforms, preferably in a sales & marketing context. Excellent verbal and written communication skills, with the ability to convey complex ideas concisely. Proven ability to work collaboratively with cross-functional teams, including engineering, design, sales, and marketing. Strong analytical and problem-solving skills, including a methodical approach to product development and documentation. The confidence to delve into business requirements and make recommendations to senior stakeholders and Directors. Full project life cycle experience, utilising Waterfall, Agile and DevOps methods as needed. DESIRABLE SKILLS & QUALIFICATIONS HubSpot DemandBase Salesforce QuotaPath ServicePath Please hit the button to Apply and/email (see below) or call Jimmy Hearne at InfraView for further info.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this straight 6+ Month Contract role* Prestigious Financial Institution Firm is currently seeking a Java Metadata Data Lineage Analyst. Candidate will develop Metadata and Data Lineage Solutions for multiple data sources across On-Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies. Responsibilities: Work with Technical SMEs/developers understanding the applications/systems design, development and create data flow diagrams/data mappings. Create Source to Target mapping documents reverse engineering the application Java code/BI tools/SQL queries for the identified data flows. Develop custom metadata connectors/scanners using programming tools to automate the metadata extraction from disparate data sources. Develop solutions developing programs to automate metadata extraction and data flow/data lineage/Source to target mapping documents for complex applications/systems/BI tools. Working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage/source to target data mapping. Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures. Design and build data capabilities like data quality, metadata, data catalog and data dictionary. Qualifications: 6 or more years of data analysis experience with robust understanding of metadata, data flows and mappings. Ability to understand the Java Code base; read and/or write code using a programming language (eg, Java, Python, etc.). Proficient with SQL and experience working with Git and experience with data analysis using Python/Pyspark. Hands-on experience with Java version 8 onwards, Spring, SpringBoot, Microservices, REST API, Kafka Streams. Experience working with various types of databases like Relational, NoSQL, Object-based. Ability to review the application development code to ensure it meets functional requirements, architectural and data standards. Proficiency in writing technical documentation for Java based applications that process data in Real Time and batch. Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience in object-oriented design and software design patterns.
04/02/2025
Project-based
*We are unable to sponsor for this straight 6+ Month Contract role* Prestigious Financial Institution Firm is currently seeking a Java Metadata Data Lineage Analyst. Candidate will develop Metadata and Data Lineage Solutions for multiple data sources across On-Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies. Responsibilities: Work with Technical SMEs/developers understanding the applications/systems design, development and create data flow diagrams/data mappings. Create Source to Target mapping documents reverse engineering the application Java code/BI tools/SQL queries for the identified data flows. Develop custom metadata connectors/scanners using programming tools to automate the metadata extraction from disparate data sources. Develop solutions developing programs to automate metadata extraction and data flow/data lineage/Source to target mapping documents for complex applications/systems/BI tools. Working on metadata management, administration, support and ingest data management assets using extension mappings, custom data assets, metadata bridges, connectors, third party metadata bridges ensuring data lineage/source to target data mapping. Create, develop, configure and execute end to end business and technical data lineage across disparate sources in accordance with the Data Governance Standards, Policies and Procedures. Design and build data capabilities like data quality, metadata, data catalog and data dictionary. Qualifications: 6 or more years of data analysis experience with robust understanding of metadata, data flows and mappings. Ability to understand the Java Code base; read and/or write code using a programming language (eg, Java, Python, etc.). Proficient with SQL and experience working with Git and experience with data analysis using Python/Pyspark. Hands-on experience with Java version 8 onwards, Spring, SpringBoot, Microservices, REST API, Kafka Streams. Experience working with various types of databases like Relational, NoSQL, Object-based. Ability to review the application development code to ensure it meets functional requirements, architectural and data standards. Proficiency in writing technical documentation for Java based applications that process data in Real Time and batch. Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience in object-oriented design and software design patterns.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Analytics ETL Analyst. Candidate will be responsible for expanding the analytics capabilities by making data accessible and usable to analysts throughout the organization. In this role you will lead the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. You will demonstrate and disseminate expertise in data sets and support teams across the organization in successfully harnessing this data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near Real Time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions and developing and maintaining our analytics platform to meet the company's security and IT standards. Responsibilities: Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics Work with various business and functional teams to understand their data and technical requirements and ensure delivered solutions address needs Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs Approve documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: [Required] Ability to collaborate with multiple partners (eg, Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards [Required] Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output [Required] Comfortable supporting business analysts on high-priority projects [Required] High attention to detail and ability to think structurally about a solution [Required] Knowledge of and experience working with analytics/reporting technology and underlying databases [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Experience working within an agile environment= Technical Skills: Demonstrated proficiency in: [Required] Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders [Required] Knowledge of and experience working with various analytics/reporting technologies [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Ability to complete work iteratively in an agile environment [Required] Proficiency in SQL [Preferred] Experience with Python and/or R [Preferred] Experience with visualization/reporting tools, such as Tableau [Preferred] Experience with ETL tools, such as Alteryx Education and/or Experience: [Required] Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience [Preferred] Master's degree [Required] 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientist Certificates or Licenses: [Preferred] Cloud platform certification [Preferred] BI tool certification
03/02/2025
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Analytics ETL Analyst. Candidate will be responsible for expanding the analytics capabilities by making data accessible and usable to analysts throughout the organization. In this role you will lead the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. You will demonstrate and disseminate expertise in data sets and support teams across the organization in successfully harnessing this data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near Real Time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions and developing and maintaining our analytics platform to meet the company's security and IT standards. Responsibilities: Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics Work with various business and functional teams to understand their data and technical requirements and ensure delivered solutions address needs Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs Approve documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: [Required] Ability to collaborate with multiple partners (eg, Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards [Required] Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output [Required] Comfortable supporting business analysts on high-priority projects [Required] High attention to detail and ability to think structurally about a solution [Required] Knowledge of and experience working with analytics/reporting technology and underlying databases [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Experience working within an agile environment= Technical Skills: Demonstrated proficiency in: [Required] Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders [Required] Knowledge of and experience working with various analytics/reporting technologies [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Ability to complete work iteratively in an agile environment [Required] Proficiency in SQL [Preferred] Experience with Python and/or R [Preferred] Experience with visualization/reporting tools, such as Tableau [Preferred] Experience with ETL tools, such as Alteryx Education and/or Experience: [Required] Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience [Preferred] Master's degree [Required] 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientist Certificates or Licenses: [Preferred] Cloud platform certification [Preferred] BI tool certification
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this 6+ month straight contract role* Prestigious Financial Institution is currently seeking a Business Technical Data Governance Analyst. Candidate will a ct as a liaison and translation layer between business and technical teams and operates at system and detailed technical level for analysis purposes. Work on new project requirements from initial requirements through full development life cycle and implementation. Responsibilities: Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership Perform other duties as assigned Qualifications: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Bachelor or Master degree in data analytics, computer science or related field.
01/02/2025
Project-based
*We are unable to sponsor for this 6+ month straight contract role* Prestigious Financial Institution is currently seeking a Business Technical Data Governance Analyst. Candidate will a ct as a liaison and translation layer between business and technical teams and operates at system and detailed technical level for analysis purposes. Work on new project requirements from initial requirements through full development life cycle and implementation. Responsibilities: Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership Perform other duties as assigned Qualifications: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities. Bachelor or Master degree in data analytics, computer science or related field.
NO SPONSORSHIP Business Data Governance Rate: 55-65/hr - C2C 6 months LOCATION: CHICAGO, IL HYBRID 3 DAYS ONSITE AND 2 DAYS REMOTE Looking for a Data Governance, Business Technical Analyst. This is both the business and technical perspective. You will define business rules and determine causes of data quality issues when defining business rules Must have a holistic perspective on the entire data governance process from both a business and technical perspective. Act as a liaison and translation layer between business and technical teams and operates at system- and detailed technical level for analysis purposes. Work on new project requirements from initial requirements through full development life cycle and implementation. Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership Perform other duties as assigned Qualifications: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities.
31/01/2025
Project-based
NO SPONSORSHIP Business Data Governance Rate: 55-65/hr - C2C 6 months LOCATION: CHICAGO, IL HYBRID 3 DAYS ONSITE AND 2 DAYS REMOTE Looking for a Data Governance, Business Technical Analyst. This is both the business and technical perspective. You will define business rules and determine causes of data quality issues when defining business rules Must have a holistic perspective on the entire data governance process from both a business and technical perspective. Act as a liaison and translation layer between business and technical teams and operates at system- and detailed technical level for analysis purposes. Work on new project requirements from initial requirements through full development life cycle and implementation. Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs. Lead Data Domain and Data Steward Workgroup meetings Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary Collaborate with Data Domain Owners to identify and define appropriate business rules Collaborate with the Metadata specialist to identify data sources Collaborate with data modelers to review definitions of business terms vs. technical terms Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary Implement data governance controls, procedures, and standards Develop and deliver presentations for department and senior leadership Perform other duties as assigned Qualifications: Structured Query Language (SQL) Data Governance Tools example, Informatica, IBM ISEE, Collibra etc Experience working on APIs, Kafka as Data Sources is preferred. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift). Strong data analysis capabilities.
Senior Commercial Analyst is needed for a vital role in Brussels. This is a permanent role and fully based in Brussels Belgium and paying €70,000 to €80,000 Euros per annum with excellent benefits. The Senior Commercial analyst is pivotal providing commercial and financial guidance to the our clients, Europe Division in its pursuit of new business and retention opportunities. Providing high quality financial modelling, commercial analysis to bids, including collation and challenge of technical and cost inputs and analysis of financial information. The role ensures we help guide our bid and pricing strategy and provide accurate management information and insight to Our clients, Europe Division governance life cycle teams. The role holder will have demonstrable strong financial acumen, experience working in a commercial finance role, preferably from a bidding environment and will be a key member of our European Commercial Finance team. Key Responsibilities. Customer - an in depth understanding of the customers' requirements Analyse customer requirements (draft contracts, specs etc), proposing clarification questions where necessary, and identify any possible gaps or misalignments within the costed solution as captured by the financial model. Accurately complete (and reconcile to our clients internal financial model) customer financial returns, assisting and responding as required to customer clarification questions with regard the same. Help to produce and understand customer viewpoint in terms of financial business case, affordability, and value for money challenges. Directly engage in customer dialogue, for example financial return walkthroughs, to help our clients customer to fully understand the our solution and financial components. Growth Process - lead the financial modelling for assigned bids Maintain expertise in financial reporting requirements, relevant legislation, and public procurement policy. Consider accounting treatments under IFRS, liaising with Group Finance, as appropriate. Perform financial modelling in accordance with applicable GSOPs, and any other relevant company policy and processes. Provide financial information, including risk and opportunity/sensitivity analysis, to our clients, governance forums that is complete and accurate, and present in a meaningful way with visualisation aids where relevant. Perform commercial analysis to inform the business of the potential outcomes and impact of various bid, cost and/or pricing strategies, and hence facilitate effective business decision making. Perform financial and commercial analysis for specific deal requirements, which may include, for example: (i) Monte Carlo analysis of possible performance management regime service credit/incentive outcomes; (ii) win/loss analysis; and/or (iii) benchmark review. Assist in the delivery of a cost-effective model audit and peer review capability that will drive compliance and integrity of financial modelling across the Growth process. People and Process - support the development of people and process across UK & Europe Support the education and training of other members of the European and UK Commercial team and the wider company community. Assist Senior Commercial Managers in the development and implementation of commercial policy, processes and systems as required. Assist in developing, or directly provide, data manipulation and modelling capability beyond the modelling of bid financial data, to support emerging commercial propositions across the business and bespoke business unit requirements. Essential technical and professional skills, knowledge and qualifications Relevant financial degree or a professional financial qualification (or in exceptional circumstances, an alternative qualification with demonstrable equivalent financial acumen). Working knowledge of financial reporting. Excellent academic record and expert financial modelling and Microsoft Excel capabilities. Demonstrable track record of successful involvement in bidding and winning, in competitive environments, profitable and sustainable business. Specific public sector and/or outsourcing experience desirable. Knowledge/understanding of people related cost modelling across Europe (salaries, leave, pension, indexation, European social security costs etc). Knowledge of, and track record of successfully operating, company governance processes applied to complex sales opportunities. Thoroughness and attention to detail with a steadiness under pressure. An energetic self-starter who can demonstrate they can work without supervision while managing a demanding and fluctuating workload. Excellent analytical skills with ability to assimilate information quickly and communicate key messages simply and effectively to stakeholders. Growth mindset applied to own development and that of the collective team and organisation. An inclusive, approachable, and consultative nature. Effective working in a team environment. A person of high integrity committed to the highest ethical and professional standards. Additional/special features of the role Flexibility to travel Strong history of progression from this role to other areas in the business There is no routine financial reporting within this role eg month end or year-end reporting. Role - Senior Commercial Analyst Location - Brussels, Belgium Job Type - Permanent Salary - Euros 70,000 to €80,000 Euros plus excellent Benefits
31/01/2025
Full time
Senior Commercial Analyst is needed for a vital role in Brussels. This is a permanent role and fully based in Brussels Belgium and paying €70,000 to €80,000 Euros per annum with excellent benefits. The Senior Commercial analyst is pivotal providing commercial and financial guidance to the our clients, Europe Division in its pursuit of new business and retention opportunities. Providing high quality financial modelling, commercial analysis to bids, including collation and challenge of technical and cost inputs and analysis of financial information. The role ensures we help guide our bid and pricing strategy and provide accurate management information and insight to Our clients, Europe Division governance life cycle teams. The role holder will have demonstrable strong financial acumen, experience working in a commercial finance role, preferably from a bidding environment and will be a key member of our European Commercial Finance team. Key Responsibilities. Customer - an in depth understanding of the customers' requirements Analyse customer requirements (draft contracts, specs etc), proposing clarification questions where necessary, and identify any possible gaps or misalignments within the costed solution as captured by the financial model. Accurately complete (and reconcile to our clients internal financial model) customer financial returns, assisting and responding as required to customer clarification questions with regard the same. Help to produce and understand customer viewpoint in terms of financial business case, affordability, and value for money challenges. Directly engage in customer dialogue, for example financial return walkthroughs, to help our clients customer to fully understand the our solution and financial components. Growth Process - lead the financial modelling for assigned bids Maintain expertise in financial reporting requirements, relevant legislation, and public procurement policy. Consider accounting treatments under IFRS, liaising with Group Finance, as appropriate. Perform financial modelling in accordance with applicable GSOPs, and any other relevant company policy and processes. Provide financial information, including risk and opportunity/sensitivity analysis, to our clients, governance forums that is complete and accurate, and present in a meaningful way with visualisation aids where relevant. Perform commercial analysis to inform the business of the potential outcomes and impact of various bid, cost and/or pricing strategies, and hence facilitate effective business decision making. Perform financial and commercial analysis for specific deal requirements, which may include, for example: (i) Monte Carlo analysis of possible performance management regime service credit/incentive outcomes; (ii) win/loss analysis; and/or (iii) benchmark review. Assist in the delivery of a cost-effective model audit and peer review capability that will drive compliance and integrity of financial modelling across the Growth process. People and Process - support the development of people and process across UK & Europe Support the education and training of other members of the European and UK Commercial team and the wider company community. Assist Senior Commercial Managers in the development and implementation of commercial policy, processes and systems as required. Assist in developing, or directly provide, data manipulation and modelling capability beyond the modelling of bid financial data, to support emerging commercial propositions across the business and bespoke business unit requirements. Essential technical and professional skills, knowledge and qualifications Relevant financial degree or a professional financial qualification (or in exceptional circumstances, an alternative qualification with demonstrable equivalent financial acumen). Working knowledge of financial reporting. Excellent academic record and expert financial modelling and Microsoft Excel capabilities. Demonstrable track record of successful involvement in bidding and winning, in competitive environments, profitable and sustainable business. Specific public sector and/or outsourcing experience desirable. Knowledge/understanding of people related cost modelling across Europe (salaries, leave, pension, indexation, European social security costs etc). Knowledge of, and track record of successfully operating, company governance processes applied to complex sales opportunities. Thoroughness and attention to detail with a steadiness under pressure. An energetic self-starter who can demonstrate they can work without supervision while managing a demanding and fluctuating workload. Excellent analytical skills with ability to assimilate information quickly and communicate key messages simply and effectively to stakeholders. Growth mindset applied to own development and that of the collective team and organisation. An inclusive, approachable, and consultative nature. Effective working in a team environment. A person of high integrity committed to the highest ethical and professional standards. Additional/special features of the role Flexibility to travel Strong history of progression from this role to other areas in the business There is no routine financial reporting within this role eg month end or year-end reporting. Role - Senior Commercial Analyst Location - Brussels, Belgium Job Type - Permanent Salary - Euros 70,000 to €80,000 Euros plus excellent Benefits
Venesky-Brown's client, a public sector organisation in Cardiff, is currently looking to recruit a Junior Technical Architect for an initial 6 week contract with potential to extend on a rate of £256.93/day (Inside IR35) - working a minimum of 15 hours per week, with the potential to increase to 37.5 hours a week. This role will be working from home with one day a week in the office. Responsibilities: - Lead the definition of technical strategies, visions and designs across teams based on Google Cloud Platform best practice to achieve organisational objectives. - Direct the delivery of technical strategies, visions and designs across teams. - Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions. - Collaborate with data scientists, analysts, and other engineering teams to define architecture principles and patterns. - Lead and guide the team, contributing to team skill growth and knowledge sharing. - Design and implement scalable, reliable data models in the Google Cloud Platform. - Ensure the security, compliance, and performance of Google Cloud Platform data solutions. Essential Skills: - Master's Degree in Computer Science, Engineering, Information Technology, or related field. - Cloud Platform Certification (AWS, Azure, or Google Cloud Platform) AWS Certified Data Analytics - Specialty Google Professional Architect Microsoft Certified: Azure Data Engineer - Significant experience with Google Cloud Platform for data and analytics. - Ability to define strategies and visions across teams based on best practice, which align with organisational objectives. - Ability to direct the implementation of strategies and visions for example by creating and implementing roadmaps or plans. - Ability to make and guide architectural decisions, identify and address associated risks, and use governance and assurance to make design decisions. - Can define architectural principles and patterns using best practice. - Ability to produce relevant data models, explaining which models to use for which purpose and advising on industry best practice. - Can develop and maintain strategies in response to feedback and findings. - Ability to create technical designs characterised by high risk, impact and complexity. - Can lead and guide others in creating technical designs to achieve organisational objectives. - Can understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage. - Ability to communicate between technical and non-technical stakeholders, mediate in difficult architectural discussion and gain support from stakeholders for architectural initiatives. - Can work collaboratively in a group and adapt feedback to ensure it's effective. - Can use feedback to optimise and refine standards for technical designs throughout the life cycle. - Ability to track emerging internal and external issues, solve problems with the most appropriate actions influencing colleagues across the organisation. Desirable Skills: - Google Professional Data Engineer - Data Engineering Certifications (eg, Cloudera, Databricks) - Data-related Certifications (eg, Microsoft Certified: Data Scientist Associate, Databricks Certified Data Engineer) - Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management. - Ability to undertake data profiling and source system analysis, presenting clear vision and insights to colleagues to support the end use of data. - Can understand industry-recognised data modelling patterns and standards with the ability to compare and align different data models. - Can design data architecture to deal with problems spanning different business areas, identifying links between problems to devise common solutions. If you would like to hear more about this opportunity please get in touch.
31/01/2025
Project-based
Venesky-Brown's client, a public sector organisation in Cardiff, is currently looking to recruit a Junior Technical Architect for an initial 6 week contract with potential to extend on a rate of £256.93/day (Inside IR35) - working a minimum of 15 hours per week, with the potential to increase to 37.5 hours a week. This role will be working from home with one day a week in the office. Responsibilities: - Lead the definition of technical strategies, visions and designs across teams based on Google Cloud Platform best practice to achieve organisational objectives. - Direct the delivery of technical strategies, visions and designs across teams. - Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions. - Collaborate with data scientists, analysts, and other engineering teams to define architecture principles and patterns. - Lead and guide the team, contributing to team skill growth and knowledge sharing. - Design and implement scalable, reliable data models in the Google Cloud Platform. - Ensure the security, compliance, and performance of Google Cloud Platform data solutions. Essential Skills: - Master's Degree in Computer Science, Engineering, Information Technology, or related field. - Cloud Platform Certification (AWS, Azure, or Google Cloud Platform) AWS Certified Data Analytics - Specialty Google Professional Architect Microsoft Certified: Azure Data Engineer - Significant experience with Google Cloud Platform for data and analytics. - Ability to define strategies and visions across teams based on best practice, which align with organisational objectives. - Ability to direct the implementation of strategies and visions for example by creating and implementing roadmaps or plans. - Ability to make and guide architectural decisions, identify and address associated risks, and use governance and assurance to make design decisions. - Can define architectural principles and patterns using best practice. - Ability to produce relevant data models, explaining which models to use for which purpose and advising on industry best practice. - Can develop and maintain strategies in response to feedback and findings. - Ability to create technical designs characterised by high risk, impact and complexity. - Can lead and guide others in creating technical designs to achieve organisational objectives. - Can understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage. - Ability to communicate between technical and non-technical stakeholders, mediate in difficult architectural discussion and gain support from stakeholders for architectural initiatives. - Can work collaboratively in a group and adapt feedback to ensure it's effective. - Can use feedback to optimise and refine standards for technical designs throughout the life cycle. - Ability to track emerging internal and external issues, solve problems with the most appropriate actions influencing colleagues across the organisation. Desirable Skills: - Google Professional Data Engineer - Data Engineering Certifications (eg, Cloudera, Databricks) - Data-related Certifications (eg, Microsoft Certified: Data Scientist Associate, Databricks Certified Data Engineer) - Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management. - Ability to undertake data profiling and source system analysis, presenting clear vision and insights to colleagues to support the end use of data. - Can understand industry-recognised data modelling patterns and standards with the ability to compare and align different data models. - Can design data architecture to deal with problems spanning different business areas, identifying links between problems to devise common solutions. If you would like to hear more about this opportunity please get in touch.
NO SPONSORSHIP Technical Data Analysis - SQL and Metadata SALARY: $125k - $145k plus 10% - 15% bonus LOCATION: CHICAGO, IL 3 days onsite and 2 days remote Looking for a Data Analysis with SQL, Metadata management and data quality. You will use tools within the collibra platform. Should have knowledge of data lineage, MDM, data catalog, data dictionary, heavy SQL data structured. Must come from a financial firm with knowledge of data governance is a plus doing data flows data mapping will look at 3 years plus to a senior Identify data sources and build out business glossary Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Qualifications: Ability to multitask and meet aggressive deadlines efficiently and effectively. Knowledge of Data Governance tools such as Collibra Proficient with SQL. Strong data analysis capabilities. Experience with Databases Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred.
31/01/2025
Full time
NO SPONSORSHIP Technical Data Analysis - SQL and Metadata SALARY: $125k - $145k plus 10% - 15% bonus LOCATION: CHICAGO, IL 3 days onsite and 2 days remote Looking for a Data Analysis with SQL, Metadata management and data quality. You will use tools within the collibra platform. Should have knowledge of data lineage, MDM, data catalog, data dictionary, heavy SQL data structured. Must come from a financial firm with knowledge of data governance is a plus doing data flows data mapping will look at 3 years plus to a senior Identify data sources and build out business glossary Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Qualifications: Ability to multitask and meet aggressive deadlines efficiently and effectively. Knowledge of Data Governance tools such as Collibra Proficient with SQL. Strong data analysis capabilities. Experience with Databases Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred.
