Top Data & Analytics Jobs

Collect, validate, and manage fund and portfolio data from vendors; resolve data issues with product and technical teams; maintain vendor relationships; improve data collection and QA using LSS tools; support database integration and related projects; meet KPIs and SMART goals while working shifts in a hybrid environment.

Join the global data team to collect, validate, and maintain investment data (Morningstar). Manage provider relationships, meet production deadlines, resolve data tickets, document processes, and drive process improvements using project management methodologies to ensure high data quality and client-focused delivery.

Work with global data and local business teams to acquire, validate, and maintain investment and Morningstar data. Manage provider relationships, meet production deadlines, resolve data tickets, improve procedures and analytical tools, and translate client needs into specifications and user stories using project management methodologies.

Support global data team collecting, organizing, and verifying financial data across markets. Assist with acquisition channels, resolve data issues, document client requests, and apply project management practices (LEAN Six Sigma) to improve workflows and meet production deadlines.

Design, build, and maintain end-to-end data pipelines in Snowflake using Medallion Architecture. Develop ETL/ingestion with Python and/or Informatica, implement Snowflake AI/ML features, manage version-controlled code (Git/Bitbucket), support CI/CD, monitor and optimize pipelines, and ensure data quality and performance across environments.

Collect, validate, and maintain global investment data (Morningstar), manage fund-provider relationships, resolve data issues, improve processes and tools, and translate client requests into specifications while meeting production deadlines.

Lead data initiatives to improve accuracy, timeliness, and coverage of investment data. Act as an expert on fund structures and methodologies, manage provider relationships and data acquisition, implement LEAN Six Sigma process improvements, ensure high data quality, handle high data volumes against strict deadlines, collaborate cross-functionally to resolve complex issues, and translate client requests into specifications and user stories.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Support global data and local teams to collect, validate and maintain financial and Morningstar data. Manage provider relationships, meet production deadlines, improve processes and tools, resolve data issues, translate client requests into specifications, and apply project management methodologies to ensure data accuracy and coverage.

Lead product and marketing analytics for Morningstar's Individual Investor products by building KPI dashboards, automating reporting, consolidating data sources, and conducting cohort, LTV, and retention analyses. Develop financial forecasting models, evaluate pricing and acquisition impacts, implement tracking with GTM and SQL pipelines, and partner with engineering to maintain centralized data infrastructure and ensure data accuracy to inform growth and product decisions.