Top Senior Data & Analytics Jobs

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

Lead a team to operate and scale CarGurus' data platform across ingestion, orchestration, storage, and observability. Own roadmap, SLAs, cost, security, and quality controls; improve developer experience; collaborate with product and stakeholders to prioritize initiatives, resolve incidents, and drive platform reliability and scalability.

Design, build, and maintain scalable data pipelines and cloud data infrastructure (warehouse, RBAC, validation). Collaborate with data scientists and engineers, orchestrate ML pipelines, ensure data quality/security, optimize cost and performance, lead incident response and mentor teammates.

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

Support design, implementation, monitoring, troubleshooting, and maintenance of HRIS integrations. Partner with HR, Payroll, IT, and vendors to ensure secure data exchange, perform root-cause analysis, configure and test system changes, generate reports/extracts for analysis, and maintain integration/process documentation.

Lead analytics strategy and decision support across Product, Growth, Revenue, Operations, and Finance. Perform deep-dive analyses, design experiments, build predictive models and ML/AI prototypes, create trusted reporting and dashboards, ensure data quality, automate workflows, and partner with stakeholders to drive measurable business outcomes. Act as a primary analytics partner, prioritize work, communicate recommendations, and mentor analysts informally.

Lead and grow a team of data analysts to deliver recurring product analytics, partner with PMs and cross-functional teams, build AI-first analytical workflows, define metrics and standards, and present insights to senior leadership to drive product decisions.

Lead client-facing analytics for beverage and emerging business units, delivering actionable insights, analytical products, and presentations to external stakeholders and senior leaders. Mentor teammates, manage complex projects, adopt new analytical capabilities, and contribute to cross-functional analytics initiatives.