Top Fintech Data & Analytics Jobs in New York City, NY

The Equity Research Associate will conduct fundamental analysis in the Auto & Auto Parts sector, provide research content, and communicate findings to clients.

The Senior People Analytics Analyst will partner with various teams to develop HR reporting frameworks, maintain data governance, and deliver actionable insights for strategic workforce decisions.

Lead the analytics function at Current, managing embedded analytics teams, guiding complex analyses, and ensuring data-driven insights inform strategic decisions.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

The Manager of Data Integrations will oversee data reconciliations for SAP SuccessFactors, governance, compliance, and integration across various systems for sales compensation programs.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Lead development of Navan's internal economic models, build probabilistic forecasts, run causal inference experiments (A/B, quasi-experimental), create pricing and retention frameworks, deploy production-quality Python models into AWS/Snowflake, and advise executives on economic strategy and risk.

The Data Scientist will build data dashboards, drive insights, and ensure metric quality while collaborating with stakeholders across teams.

Leads a Data Science team at Gusto, focusing on product strategy using data and AI. Responsibilities include team management, developing measurement frameworks, supporting experiments, and influencing leadership decisions with insights.