Top Fintech Data & Analytics Jobs

Lead and manage enterprise data and AI governance by developing governance deliverables, policies, catalogs and dashboards; perform data profiling and quality assessments; define KPIs and measure value; facilitate governance forums; create educational materials to increase Data and AI literacy; partner with business, legal, and IT to ensure compliance and responsible AI use; mentor team members and drive remediation of data quality issues.

Build and maintain scalable data pipelines and enterprise DataMarts, apply advanced SQL to transform disparate sources into well-modeled, high-quality datasets, ensure data governance and integrity, optimize performance, and partner with analysts and stakeholders to enable reliable reporting and analytics.

Perform reference and market data analysis, setup and maintain securities in Eagle and related systems, reconcile data across Bloomberg/CRD/GoldenSource, support data quality initiatives, run statistical analyses and reporting to inform business decisions, participate in UAT and change management, and handle ad-hoc data requests.

Lead data analyst responsible for analyzing complex datasets, designing ETL and data integration solutions, ensuring data quality and governance, documenting data lineage, collaborating with stakeholders and IT teams, supporting testing and production support, and communicating insights to technical and non-technical audiences.

Lead HR Analytics Developer analyzes HR and workforce data, builds and maintains Tableau dashboards, performs SQL-based ETL and analysis, defines HR metrics/KPIs, supports data warehousing and governance, and partners with HR, IT, and business stakeholders to deliver actionable workforce insights and reporting.

Perform exploratory, diagnostic, and descriptive analyses to generate insights and dashboards. Build and maintain reports, prepare and transform data (SQL/Python/Alteryx), validate pipelines, analyze A/B tests, document data lineage and business rules, and present findings to stakeholders to inform decisions across Digital, Marketing, Finance, and Operations.

The Senior Director, Business Analytics will manage business lines by optimizing costs, pricing, credit, and growth strategies, ensuring profitability and cross-functional alignment.

The role involves managing data analytics and forecasting, driving revenue-focused insights, designing experiments, and building scalable models while leading a team of analysts.

Perform advanced quantitative analyses, build and maintain dashboards and automated reports, collaborate across teams to drive data‑driven decisions, lead process improvements, and mentor junior analysts.

Design, build, and improve recurring and ad-hoc reports, dashboards, and BI tools. Partner with FP&A and IT to validate requirements and data integrity, extract and automate data pipelines, apply analytics to identify financial opportunities, and communicate results to stakeholders while ensuring regulatory compliance.

Lead database engineering for fund accounting: design data models, optimize Oracle/Snowflake performance, build/maintain ETL and batch pipelines, enforce data governance, automate processes, troubleshoot production issues, and collaborate across teams to deliver scalable, reliable data solutions.