Top Remote Data & Analytics Jobs in NYC, NY

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Lead and scale data subject rights and data lifecycle programs by partnering with Engineering and Product to design data discovery, retrieval, and deletion solutions. Build SQL queries, scripts, and dashboards, document retention requirements, map data lineage, and operationalize privacy controls and automation to improve accuracy and efficiency.

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

Lead design, build, and deployment of SAP Analytics Cloud and SAP HANA-based planning and analytics solutions. Gather requirements, design data models, develop reports, coach users, coordinate with infrastructure and security teams, support go-live and production stabilization, and drive SAP analytics strategy and adoption across business units in a fully remote principal architect role.

As a Business Analysis Manager, you will lead strategy development, manage analysts, execute business intent, and foster improvements across multiple teams.

Serve as the analytics lead for Acuity Scheduling: build data infrastructure, dashboards, and monitoring; translate product, financial, and operational data into executive insights; design metrics frameworks; run weekly/monthly reviews and deep dives; partner with Product, Engineering, and Analytics to support growth, retention, and strategic decision-making.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.