Top Data & Analytics Jobs

Lead automotive market analysis to inform GM Sales, Service, and Marketing strategies. Monitor trends, identify incentive and sales opportunities, build dashboards and reports, collaborate cross-functionally, manage vendor data quality, and deliver insights and presentations to senior leadership to drive go-to-market decisions and measure program effectiveness.

Build and improve end-to-end simulation data workflows and automation for vehicle dynamics: generate, store, process, validate, and analyze simulation datasets; implement CI/CD pipelines, Databricks/SQL-based data management, and automation; partner with simulation engineers to standardize metadata, drive reuse, and train teams toward data-driven simulation practices.

Lead a team to translate complex business needs into scalable analytics, BI, and AI solutions. Set solution direction, manage delivery from discovery through implementation and modernization, ensure governance, data quality, and operational readiness, partner cross-functionally, track adoption and impact, and develop talent while prioritizing work and removing blockers.

Own end-to-end product analytics: define questions and success metrics, run A/B tests, build dashboards and reusable SQL/Python analyses, investigate performance changes, and collaborate with Product, ML, and Data teams to inform product decisions.

Design, build, deploy, and operate production-grade data pipelines and products for healthcare and marketing datasets. Implement data models, Airflow workflows, data-quality controls, and PHI/PII privacy controls. Collaborate with product, analytics, and platform teams to support audience discovery, segmentation, activation, measurement, and reporting.

Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.

The Senior Associate in Analytics & Business Insights analyzes complex datasets to extract insights, informs commercial strategies, and collaborates with sales teams to translate data into actionable recommendations.

Define and lead enterprise data governance: create standards, operating model, and AI-ready data practices. Partner with data product managers, platform engineering, security, legal and privacy to enable self-service, metadata, lineage, quality, access controls, and compliance while building governance councils and driving adoption.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

As a Business Technology Solutions Associate Consultant, you'll develop and implement tech solutions, lead project teams, mentor junior members, and manage project delivery in the life sciences sector.

Lead the design and operation of automated compliance monitoring for consumer lending: translate regulations into rule-based data checks, own exam and audit data requests, triage exceptions, drive automation, steward compliance data, and provide technical mentorship to a supporting analyst. Produce audit-ready, reproducible evidence for regulators, bank partners, auditors, and senior leadership.

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Lead analytics for lead intelligence and revenue optimization: develop forecasting, modeling, and simulation to prioritize lead inventory, recommend allocation rules, build KPIs, and partner cross-functionally to implement rules and drive revenue outcomes.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.