Senior C# Full Stack Developer, Azure, Data Analytics, Machine Learning. Home Based with occasional trips to the office in London. Financial Service background a distinct advantage. Salary £75000 - 82000 + bonus + benefits. This role is a fantastic opportunity for a Senior C# Developer with experience building applications in the Azure cloud to join the Analytics team and be responsible for designing and building cutting edge technology and optimising and delivering statistical and financial models. Working closely with the Solution Architect, Data Scientists and the Test Engineer you will build the analytics platform in the Azure cloud. An experienced developer with excellent C# knowledge you will have strong design skills with extensive knowledge of design patterns. Ideally this experience will have been gained in a financial services environment. Key Responsibilities - Design, develop and deploy Azure cloud based applications using Azure services. Design and implement Cloud based solutions that are scaleable and secure. Build high performing code to industry standard design patterns Further develop and enhance C# and Python based analytics models. Perform proof of concept to integrate with new machine learning models using technologies such as Python, C++, C API. Work on complex and data related problems. Experience Required - Strong background designing and building cloud based applications and DevOps practices. 2 years Azure. Strong C#/.net framework programming skills. Strong experience of .net parallel programming. Experience of building financial models in an advantage. Machine learning experience is also an advantage. This is an excellent opportunity to work in a financial service company and develop robust and scaleable analytics's software. The role will be technically challenging and will give you exposure to machine learning. To be considered you will be an excellent senior developer with first class design and coding skills. It is likely you will have good knowledge of a number of languages with C#/net knowledge at expert level. The role is home based with occasional trips to the office in London (expenses paid). If you have all the experience listed above please send your CV for a full brief.
03/01/2025
Full time
Senior C# Full Stack Developer, Azure, Data Analytics, Machine Learning. Home Based with occasional trips to the office in London. Financial Service background a distinct advantage. Salary £75000 - 82000 + bonus + benefits. This role is a fantastic opportunity for a Senior C# Developer with experience building applications in the Azure cloud to join the Analytics team and be responsible for designing and building cutting edge technology and optimising and delivering statistical and financial models. Working closely with the Solution Architect, Data Scientists and the Test Engineer you will build the analytics platform in the Azure cloud. An experienced developer with excellent C# knowledge you will have strong design skills with extensive knowledge of design patterns. Ideally this experience will have been gained in a financial services environment. Key Responsibilities - Design, develop and deploy Azure cloud based applications using Azure services. Design and implement Cloud based solutions that are scaleable and secure. Build high performing code to industry standard design patterns Further develop and enhance C# and Python based analytics models. Perform proof of concept to integrate with new machine learning models using technologies such as Python, C++, C API. Work on complex and data related problems. Experience Required - Strong background designing and building cloud based applications and DevOps practices. 2 years Azure. Strong C#/.net framework programming skills. Strong experience of .net parallel programming. Experience of building financial models in an advantage. Machine learning experience is also an advantage. This is an excellent opportunity to work in a financial service company and develop robust and scaleable analytics's software. The role will be technically challenging and will give you exposure to machine learning. To be considered you will be an excellent senior developer with first class design and coding skills. It is likely you will have good knowledge of a number of languages with C#/net knowledge at expert level. The role is home based with occasional trips to the office in London (expenses paid). If you have all the experience listed above please send your CV for a full brief.
Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth Client Details Global Engineering Company Description Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth. As a Data Scientist, you will combine your skills in statistical modelling and programming to generate business value from organisational data. The solutions that you develop will inform real, high-impact business decisions - driving top-line growth, optimising operational efficiency, and enhancing customer experience. Key Responsibilities Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights. Develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business, including Sales, Finance, Manufacturing, Engineering and Marketing. Communicate insights to technical and non- technical stakeholders in a coherent and actionable way. In collaboration with Data Engineering colleagues, build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling. Develop tools and code libraries to help Data Science colleagues work more efficiently. Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control. Mentor and/or manage junior members of the Data and Analytics team. Key Skills/Experience: Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role. Certifications in Data Science Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources. Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics. Highly proficient in Python Highly proficient in SQL and the use of relational databases Advanced user of Microsoft Excel Existing knowledge/skills in the following are not essential, but would be highly advantageous: Generative AI solutions Microsoft Power BI Microsoft Azure cloud services (including Azure Synapse Analytics) Other programming languages (eg R, Java, C++) Profile Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role. Certifications in Data Science Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources. Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics. Highly proficient in Python Highly proficient in SQL and the use of relational databases Advanced user of Microsoft Excel Existing knowledge/skills in the following are not essential, but would be highly advantageous: Generative AI solutions Microsoft Power BI Microsoft Azure cloud services (including Azure Synapse Analytics) Other programming languages (eg R, Java, C++) Job Offer Opportunity to deliver enhanced analytics services in a global Plc Opportunity to work with a broad Data Science community
03/01/2025
Full time
Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth Client Details Global Engineering Company Description Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth. As a Data Scientist, you will combine your skills in statistical modelling and programming to generate business value from organisational data. The solutions that you develop will inform real, high-impact business decisions - driving top-line growth, optimising operational efficiency, and enhancing customer experience. Key Responsibilities Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights. Develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business, including Sales, Finance, Manufacturing, Engineering and Marketing. Communicate insights to technical and non- technical stakeholders in a coherent and actionable way. In collaboration with Data Engineering colleagues, build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling. Develop tools and code libraries to help Data Science colleagues work more efficiently. Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control. Mentor and/or manage junior members of the Data and Analytics team. Key Skills/Experience: Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role. Certifications in Data Science Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources. Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics. Highly proficient in Python Highly proficient in SQL and the use of relational databases Advanced user of Microsoft Excel Existing knowledge/skills in the following are not essential, but would be highly advantageous: Generative AI solutions Microsoft Power BI Microsoft Azure cloud services (including Azure Synapse Analytics) Other programming languages (eg R, Java, C++) Profile Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role. Certifications in Data Science Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources. Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics. Highly proficient in Python Highly proficient in SQL and the use of relational databases Advanced user of Microsoft Excel Existing knowledge/skills in the following are not essential, but would be highly advantageous: Generative AI solutions Microsoft Power BI Microsoft Azure cloud services (including Azure Synapse Analytics) Other programming languages (eg R, Java, C++) Job Offer Opportunity to deliver enhanced analytics services in a global Plc Opportunity to work with a broad Data Science community
Product Lead/Senior Product Manager/Senior AI Product Manager/Head of Product/Senior Data Product Manager/Data Science/Machine Learning I am excited to be sharing this awesome opportunity for a Senior Product specialist in the realm of AI, Data Science/Machine learning for a very well known and admired UK Brand. This role will ensure they achieve a set of agreed outcomes across a substantial program of work, by creating and then delivering a roadmap with a continuous focus on quality, pace and the accurate measurement of impact. The role will focus will on optimising our clients business and service operations using cutting-edge predictive and prescriptive AI models, Data Science and Machine Learning to improve operational efficiency, reduce costs, and enhance customer satisfaction. The role: Define the product vision, goals, and roadmap, ensuring alignment with organisational objectives in line with the AI Strategy. Gather requirements from stakeholders, including operational teams and leadership, and translate them into actionable deliverables. Prioritise features and tasks based on business value, technical feasibility, and timelines. Collaborate with the team of Data Scientists and Engineers to develop innovative solutions for deployment optimisation. Partner with internal teams to ensure smooth integration of project into existing systems and business processes. Monitor project progress, manage risks, and address roadblocks to ensure timely delivery. Define success metrics and KPIs for AI initiatives and monitor their performance post-launch. Drive continuous improvement by incorporating feedback and analysing results. Communicate project updates, insights, and progress to stakeholders. Experience/Skills: Proven experience as a Head of Product/Product Manager/Leader in a technical or data-driven environment. Strong understanding of AI, Data Science, and Machine Learning applications. Exceptional communication, stakeholder management, and organisational skills. Able to convey ideas and technical content to different stakeholders, from engineers to senior executives. Experience with Agile methodologies and managing cross-functional teams. Experience of owning a complex data science/Gen AI problem from ideas and discovery through to prioritisation, definition, delivery and post launch evaluation. Demonstrating sound decision making at each stage Data Proficiency and Collaboration: Skilled in analysing raw data and using SQL and other data tools to visualise insights; effectively translates complex data needs into clear requirements for data science/Gen AI teams and actionable recommendations for stakeholders. Sufficient understanding of software development, data science and GenAI processes and design principles to be able to communicate and collaborate effectively with technical team; and to assess the implications of technical decisions on the product strategy and user experience. Track record of defining and delivering great analytical outcomes leading to commercial outcomes - and adept at balancing the two. Very keen to discuss this opportunity, so if you have the relevant skills and experience and would like to find out more, please get in touch.
03/01/2025
Full time
Product Lead/Senior Product Manager/Senior AI Product Manager/Head of Product/Senior Data Product Manager/Data Science/Machine Learning I am excited to be sharing this awesome opportunity for a Senior Product specialist in the realm of AI, Data Science/Machine learning for a very well known and admired UK Brand. This role will ensure they achieve a set of agreed outcomes across a substantial program of work, by creating and then delivering a roadmap with a continuous focus on quality, pace and the accurate measurement of impact. The role will focus will on optimising our clients business and service operations using cutting-edge predictive and prescriptive AI models, Data Science and Machine Learning to improve operational efficiency, reduce costs, and enhance customer satisfaction. The role: Define the product vision, goals, and roadmap, ensuring alignment with organisational objectives in line with the AI Strategy. Gather requirements from stakeholders, including operational teams and leadership, and translate them into actionable deliverables. Prioritise features and tasks based on business value, technical feasibility, and timelines. Collaborate with the team of Data Scientists and Engineers to develop innovative solutions for deployment optimisation. Partner with internal teams to ensure smooth integration of project into existing systems and business processes. Monitor project progress, manage risks, and address roadblocks to ensure timely delivery. Define success metrics and KPIs for AI initiatives and monitor their performance post-launch. Drive continuous improvement by incorporating feedback and analysing results. Communicate project updates, insights, and progress to stakeholders. Experience/Skills: Proven experience as a Head of Product/Product Manager/Leader in a technical or data-driven environment. Strong understanding of AI, Data Science, and Machine Learning applications. Exceptional communication, stakeholder management, and organisational skills. Able to convey ideas and technical content to different stakeholders, from engineers to senior executives. Experience with Agile methodologies and managing cross-functional teams. Experience of owning a complex data science/Gen AI problem from ideas and discovery through to prioritisation, definition, delivery and post launch evaluation. Demonstrating sound decision making at each stage Data Proficiency and Collaboration: Skilled in analysing raw data and using SQL and other data tools to visualise insights; effectively translates complex data needs into clear requirements for data science/Gen AI teams and actionable recommendations for stakeholders. Sufficient understanding of software development, data science and GenAI processes and design principles to be able to communicate and collaborate effectively with technical team; and to assess the implications of technical decisions on the product strategy and user experience. Track record of defining and delivering great analytical outcomes leading to commercial outcomes - and adept at balancing the two. Very keen to discuss this opportunity, so if you have the relevant skills and experience and would like to find out more, please get in touch.
Senior C# Full Stack Developer, Data Analytic's Home Based with occasional trips to the office in London. Financial Service background a distinct advantage. This role is a fantastic opportunity for a Senior C# Developer with experience building applications in the Azure cloud to join the Analytics team and be responsible for designing and building cutting edge technology and optimising and delivering statistical and financial models. Working closely with the Solution Architect, Data Scientists and the Test Engineer you will build the analytics platform in the Azure cloud. An experienced developer with excellent C# knowledge you will have strong design skills with extensive knowledge of design patterns. Ideally this experience will have been gained in a financial services environment. Key Responsibilities - Design, develop and deploy Azure cloud based applications using Azure services. Design and implement Cloud based solutions that are scaleable and secure. Build high performing code to industry standard design patterns Further develop and enhance C# and Python based analytics models. Perform proof of concept to integrate with new machine learning models using technologies such as Python, C++, C API. Work on complex and data related problems. Experience Required - Strong background designing and building cloud based applications and DevOps practices. 2 years Azure. Strong C#/.net framework programming skills. Strong experience of .net parallel programming. Experience of building financial models in an advantage. Machine learning experience is also an advantage. This is an excellent opportunity to work in a financial service company and develop robust and scaleable analytics software. The role will be technically challenging and will give you exposure to machine learning. To be considered you will be an excellent senior developer with first class design and coding skills. It is likely you will have good knowledge of a number of languages with C#/net knowledge at expert level. The role is home based with occasional trips to the office in London (expenses paid). If you have all the experience listed above please send your CV for a full brief.
03/01/2025
Full time
Senior C# Full Stack Developer, Data Analytic's Home Based with occasional trips to the office in London. Financial Service background a distinct advantage. This role is a fantastic opportunity for a Senior C# Developer with experience building applications in the Azure cloud to join the Analytics team and be responsible for designing and building cutting edge technology and optimising and delivering statistical and financial models. Working closely with the Solution Architect, Data Scientists and the Test Engineer you will build the analytics platform in the Azure cloud. An experienced developer with excellent C# knowledge you will have strong design skills with extensive knowledge of design patterns. Ideally this experience will have been gained in a financial services environment. Key Responsibilities - Design, develop and deploy Azure cloud based applications using Azure services. Design and implement Cloud based solutions that are scaleable and secure. Build high performing code to industry standard design patterns Further develop and enhance C# and Python based analytics models. Perform proof of concept to integrate with new machine learning models using technologies such as Python, C++, C API. Work on complex and data related problems. Experience Required - Strong background designing and building cloud based applications and DevOps practices. 2 years Azure. Strong C#/.net framework programming skills. Strong experience of .net parallel programming. Experience of building financial models in an advantage. Machine learning experience is also an advantage. This is an excellent opportunity to work in a financial service company and develop robust and scaleable analytics software. The role will be technically challenging and will give you exposure to machine learning. To be considered you will be an excellent senior developer with first class design and coding skills. It is likely you will have good knowledge of a number of languages with C#/net knowledge at expert level. The role is home based with occasional trips to the office in London (expenses paid). If you have all the experience listed above please send your CV for a full brief.
Python Developer - Hybrid working We are working with one of our world renowned clients who are looking to recruit an experienced Python Developer. Job Responsibilities: Develop robust ETL data pipelines for large scale data into SQL and NoSQL systems Maintain and optimize AWS RDS, S3, and other data storage systems Collaborate with data analysts and data scientists to implement analytics and ML models through AWS Implement CI/CD standards and tools Oversee the work of junior developers Plan, oversee, and implement sprint plans for multiple development efforts using Agile processes Work within an AWS ecosystem, leveraging cloud services for scalable applications Develop and maintain Python-based Back End services Drive code reviews and contribute to technical documentation About You: 5-7 years of experience in Python centric development Excellent proficiency in Python and common ML oriented packages Significant experience working with AWS PostgreSQL RDS, including database design, optimization, and management Significant experience with AWS services and cloud architecture Strong understanding of database technologies (SQL and NoSQL) Expertise in machine learning concepts and data visualization techniques Strong understanding of RESTful API design and implementation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
02/01/2025
Full time
Python Developer - Hybrid working We are working with one of our world renowned clients who are looking to recruit an experienced Python Developer. Job Responsibilities: Develop robust ETL data pipelines for large scale data into SQL and NoSQL systems Maintain and optimize AWS RDS, S3, and other data storage systems Collaborate with data analysts and data scientists to implement analytics and ML models through AWS Implement CI/CD standards and tools Oversee the work of junior developers Plan, oversee, and implement sprint plans for multiple development efforts using Agile processes Work within an AWS ecosystem, leveraging cloud services for scalable applications Develop and maintain Python-based Back End services Drive code reviews and contribute to technical documentation About You: 5-7 years of experience in Python centric development Excellent proficiency in Python and common ML oriented packages Significant experience working with AWS PostgreSQL RDS, including database design, optimization, and management Significant experience with AWS services and cloud architecture Strong understanding of database technologies (SQL and NoSQL) Expertise in machine learning concepts and data visualization techniques Strong understanding of RESTful API design and implementation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
02/01/2025
Full time
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create 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 your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
02/01/2025
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create 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 your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create 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 your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
16/12/2024
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create 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 your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
