Top Senior Data & Analytics Jobs

Develop and maintain AWS QuickSight back-end integrations, design and optimize reporting data pipelines, extend BI platforms with new data sources, and improve backend processing for data storytelling and system performance.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

Lead design and implementation of scalable batch and streaming data infrastructure. Build and maintain ETL/ELT pipelines, ensure data quality and observability, troubleshoot production issues, mentor engineers, and partner with cross-functional teams to deliver reliable, self-serve data products.

The Global Customer Data Architect drives customer data governance, champions data management, collaborates with cross-functional teams, and ensures compliance with privacy regulations, enhancing data-driven decision-making across the organization.

Lead data and analytics teams to manage data engineering, reporting, visualization, and advanced quantitative/ML/AI modeling. Oversee implementation, validation, stakeholder partnership, vendor relationships, and deliver scalable analytics solutions to support commercial business objectives.

The Senior Portfolio Risk Analyst will oversee investment risk, conduct risk analysis, collaborate with teams, and improve risk methodologies.

The Sr. BI Developer will create analytical tools for decision-making, design Power BI architecture, and support business teams in data-driven processes.

Lead Continuous Improvement & Insights efforts for revenue cycle: analyze A/R and KPI data, identify root causes and trends, oversee junior staff, develop and track improvement plans, provide executive reporting, and partner with operational leaders to drive sustained metric and financial performance improvements.

Temporary 6-9 month Staff Data Analyst supporting eCommerce and marketing analytics. Lead data-driven projects, define and track metrics, analyze product and web data, build dashboards and automated reports, and provide insights for product teams and brand partners to improve user experience and business performance.

Design and optimize end-to-end financial data pipelines and automated validations; build and maintain production-grade SQL repositories; perform forensic analytics to resolve discrepancies; serve as Finxact SME; lead governance, reporting automation, and cross-functional projects; mentor junior analysts and partner with Product and Engineering.