Conduct end-to-end analysis of data processes to enhance productivity. Engage with stakeholders to address data needs, document requirements, and implement data quality solutions.
Primary Responsibilities:
· End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
· Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
· Document business requirements and use cases for data-related projects.
· Review, analyze data consumption patterns for enterprise core data in the IM Data Warehouse.
· Coordinate with data owners and other teams to implement solutions.
· Coordinate the onboarding of data from various internal / external sources into the central repository.
· Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
· Manage change control process and participate in user acceptance testing (UAT) activities.
· Support other DAG initiatives.
Key Qualifications / Skills:
· Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry
· 8+ years of Investment Management experience.
· Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues.
· Strong SQL skills Experience with Snowflake is a plus.
· Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience.
· Knowledge of Data Governance & Data Quality and the relevant tools.
· Hands-on experience in project management
· Ability to manage enterprise scale data projects.
Preferred Skills:
· Experience working with positions, trades, transactions datasets
· Familiar with agile process and JIRA
Rate range -$65-$70
· End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
· Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
· Document business requirements and use cases for data-related projects.
· Review, analyze data consumption patterns for enterprise core data in the IM Data Warehouse.
· Coordinate with data owners and other teams to implement solutions.
· Coordinate the onboarding of data from various internal / external sources into the central repository.
· Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
· Manage change control process and participate in user acceptance testing (UAT) activities.
· Support other DAG initiatives.
Key Qualifications / Skills:
· Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry
· 8+ years of Investment Management experience.
· Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues.
· Strong SQL skills Experience with Snowflake is a plus.
· Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience.
· Knowledge of Data Governance & Data Quality and the relevant tools.
· Hands-on experience in project management
· Ability to manage enterprise scale data projects.
Preferred Skills:
· Experience working with positions, trades, transactions datasets
· Familiar with agile process and JIRA
Rate range -$65-$70
Top Skills
JIRA
Snowflake
SQL
Similar Jobs
Cloud • HR Tech • Information Technology • Software
The People Data Analyst will translate complex workforce data into actionable insights, collaborate with clients, and contribute to data storytelling to improve organizational culture.
Top Skills:
ExcelLookerPower BIQuicksightSQLTableau
Big Data • Fintech • Information Technology • Insurance • Financial Services
Drive execution of data strategy, analyze life insurance operations data, develop reporting solutions, mentor analysts, ensure data quality, and collaborate with stakeholders to enhance data integration.
Top Skills:
AnaplanPower BIPythonSAPSQLTableauTeradataVertica
Big Data • Healthtech • Software • Analytics • Pharmaceutical • Infrastructure as a Service (IaaS)
Analyze pharmaceutical data, develop reports and dashboards, perform statistical analysis, ensure data quality, and support cross-functional teams.
Top Skills:
NumpyPandasPower BIPythonSQLTableau
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories