Top Data & Analytics Jobs

Maintain and transform investment data into actionable insights by building data systems and pipelines, performing complex analysis, visualizing results, improving data quality, and collaborating with clients and product teams.

Maintain and transform investment data by building data systems and pipelines, performing complex analysis, combining multiple sources, improving data quality, and presenting results via visualization. Collaborate with clients, system architects, and product teams to deliver actionable insights and analytical tools for data-driven decisions.

Load, validate, and reconcile client investment data using Excel and SQL. Collaborate with development teams to automate and streamline onboarding workflows, apply accounting and securities knowledge, lead process improvements, and coordinate complex activities to improve delivery speed and accuracy.

The Lead Data Migration Specialist will enhance data processes for client onboarding using Excel, SQL, and AI, ensuring accuracy and efficiency.

Lead data migration and onboarding of client investment data using Excel and SQL. Validate, normalize, reconcile, and load data into the investment account system. Collaborate with development teams to automate and improve processes, apply accounting and securities knowledge, identify continuous improvement opportunities, and coordinate complex activities in an agile environment.

Lead development and strategy for a Private Markets Data & Analytics platform, focusing on benchmarks, market strategies, cross-functional collaboration, and client engagement for investment decisions.

Maintain and integrate investment data; build data systems and ETL pipelines; analyze large datasets; produce visualizations and reports (Tableau/Power BI/D3.js); improve data quality and governance; develop analytical tools; collaborate with clients, system architects, and product teams.

Design, build, and maintain data connections and transformations; import and validate client file deliveries; normalize external portfolio data into Clearwater format; automate monitoring, reporting, and reconciliation improvements; build scripts to automate tasks; support projects, mentor new hires, and communicate technical details to non-technical stakeholders.