4 joburi disponibile

*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 Governance. 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. 5-7 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.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Quality Assurance Tableau Reporting Analyst. Candidate will be responsible for designing, developing, and maintaining reporting and monitoring solutions that support QA processes. The role will collaborate with cross-functional teams to identify automation needs and reporting needs to monitor and support governance processes, analyze data, and generate reports, and dashboards using Tableau, Alteryx, and Excel. Responsibilities: Collaborate with QA team members, developers, and other stakeholders to understand monitoring reporting requirements and deliver solutions that meet business needs. Execute, Maintain, and enhance python automation scripts as part of quality assurance monitoring. Develop and maintain QA data reports, dashboards, and visualizations to monitor key performance indicators and quality metrics using Tableau. Collect, analyze, and interpret data from various sources to identify trends, patterns, and anomalies. Connect to various data sources such as Jira and SpriaTest and prepare data for analysis. Monitor the performance of Tableau reports and Alteryx workflows, identifying and resolving issues. Ensure workflows are efficient and can handle large datasets. Ensure data accuracy, consistency, and integrity in all reports and dashboards. Apply best practices in data visualization to enhance user experience and report usability in Tableau. Optimize performance to ensure timely and accurate delivery of Tableau reports. Conduct regular audits of QA data to ensure compliance with industry standards and company policies. Generate ad-hoc reports and perform data analysis to support decision making processes. Establish and successfully manage relationships with clients as assigned. Report and escalate issues to management as needed. Document processes, best practices, and user guides as needed. Stay updated with the industry's best practices and advancements in data reporting and analysis tools. Perform other duties as assigned. Supervisory Responsibilities: None Qualifications: Bachelor's Degree (or equal experience) in Computer science, Data Analytics, or related field. Proven working experience in data analysis, reporting, and visualization in Tableau and Alteryx within a professional setting. Strong proficiency in SQL and experience with data querying and manipulation. Experience in data blending, preparation, and transformation. Strong skills in data visualization tools such as Tableau, Power BI, Alteryx, or similar platforms. Familiarity with statistical analysis tools and techniques. Experience with QA processes, software testing, change control management, test planning management, quality control process, methodologies. And management systems. Excellent analytical and problem-solving skills. Exemplary verbal and written communication skills. Excellent client-facing and internal communication skills. Solid organizational skills include attention to detail and multi-tasking skills. Strong interpersonal skills and core values include a positive attitude, balance, creativity, determination, and teamwork. Self-starter with the ability to identify need for and develop processes and materials. Technical Skills: Tableau: Report and dashboard development, data visualization, best practices, performance optimization. SQL: Query writing, data manipulation. Strong Experience in SQL and Python. Alteryx: Workflow development, data preparation, automation, and optimization. Data analysis, problem-solving, and critical thinking. Experience with tools like Jira, Zephyr, Confluence, SpiraTest, Selenium, or HP ALM. ETL tools such as Alteryx and reporting tools such as Tableau. Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub, GitLab CI, or Azure DevOps. Familiarity with performance testing tools such as JMeter, LoadRunner, or Gatling. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform). Strong experience working with Linux OS. Experience in database management systems. Education and/or Experience: Bachelor's degree or Master's degree in computer science or a related discipline. Experience in Agile methodology. Experience in Enterprise Report development, or similar roles. Experience in working with large datasets and complex data models. Proven track record of delivering high quality reports & dashboards. Experience in database management systems. Strong communication skills, written and oral, analytical abilities, problem solving skills, sound judgment and time management skills. Experience in the Options and Futures industry is preferred.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Quality Assurance Tableau Reporting Analyst. Candidate will be responsible for designing, developing, and maintaining reporting and monitoring solutions that support QA processes. The role will collaborate with cross-functional teams to identify automation needs and reporting needs to monitor and support governance processes, analyze data, and generate reports, and dashboards using Tableau, Alteryx, and Excel. Responsibilities: Collaborate with QA team members, developers, and other stakeholders to understand monitoring reporting requirements and deliver solutions that meet business needs. Execute, Maintain, and enhance python automation scripts as part of quality assurance monitoring. Develop and maintain QA data reports, dashboards, and visualizations to monitor key performance indicators and quality metrics using Tableau. Collect, analyze, and interpret data from various sources to identify trends, patterns, and anomalies. Connect to various data sources such as Jira and SpriaTest and prepare data for analysis. Monitor the performance of Tableau reports and Alteryx workflows, identifying and resolving issues. Ensure workflows are efficient and can handle large datasets. Ensure data accuracy, consistency, and integrity in all reports and dashboards. Apply best practices in data visualization to enhance user experience and report usability in Tableau. Optimize performance to ensure timely and accurate delivery of Tableau reports. Conduct regular audits of QA data to ensure compliance with industry standards and company policies. Generate ad-hoc reports and perform data analysis to support decision making processes. Establish and successfully manage relationships with clients as assigned. Report and escalate issues to management as needed. Document processes, best practices, and user guides as needed. Stay updated with the industry's best practices and advancements in data reporting and analysis tools. Perform other duties as assigned. Supervisory Responsibilities: None Qualifications: Bachelor's Degree (or equal experience) in Computer science, Data Analytics, or related field. Proven working experience in data analysis, reporting, and visualization in Tableau and Alteryx within a professional setting. Strong proficiency in SQL and experience with data querying and manipulation. Experience in data blending, preparation, and transformation. Strong skills in data visualization tools such as Tableau, Power BI, Alteryx, or similar platforms. Familiarity with statistical analysis tools and techniques. Experience with QA processes, software testing, change control management, test planning management, quality control process, methodologies. And management systems. Excellent analytical and problem-solving skills. Exemplary verbal and written communication skills. Excellent client-facing and internal communication skills. Solid organizational skills include attention to detail and multi-tasking skills. Strong interpersonal skills and core values include a positive attitude, balance, creativity, determination, and teamwork. Self-starter with the ability to identify need for and develop processes and materials. Technical Skills: Tableau: Report and dashboard development, data visualization, best practices, performance optimization. SQL: Query writing, data manipulation. Strong Experience in SQL and Python. Alteryx: Workflow development, data preparation, automation, and optimization. Data analysis, problem-solving, and critical thinking. Experience with tools like Jira, Zephyr, Confluence, SpiraTest, Selenium, or HP ALM. ETL tools such as Alteryx and reporting tools such as Tableau. Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub, GitLab CI, or Azure DevOps. Familiarity with performance testing tools such as JMeter, LoadRunner, or Gatling. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform). Strong experience working with Linux OS. Experience in database management systems. Education and/or Experience: Bachelor's degree or Master's degree in computer science or a related discipline. Experience in Agile methodology. Experience in Enterprise Report development, or similar roles. Experience in working with large datasets and complex data models. Proven track record of delivering high quality reports & dashboards. Experience in database management systems. Strong communication skills, written and oral, analytical abilities, problem solving skills, sound judgment and time management skills. Experience in the Options and Futures industry is preferred.