Top Data & Analytics Jobs

Design, build, and maintain data solutions and self-service capabilities. Partner with business stakeholders to deliver BI dashboards and insights. Perform data mining, scripting, and analysis across structured and unstructured sources. Ensure data quality, metadata, lineage, governance, and collaborate with tech teams on security and access.

Lead a team to analyze large-scale datasets, build and validate models, improve reporting and operational efficiency, design data/storage systems, run strategic tests, and collaborate across business units to drive analytics strategy and customer experience.

Drive analytics and reporting for Enterprise Risk Management by turning complex analysis into actionable insights for executives. Lead problem framing, hypothesis testing, solution development, implementation, and monitoring. Partner across risk and business teams to measure and influence risk outcomes. Communicate findings clearly and apply strong quantitative judgment to strategic decision-making.

Lead Insights & Analytics for Enterprise Risk Management: develop and execute data-driven risk strategies, manage delivery and requirements, mentor analysts, run rigorous monitoring and analysis, partner with business leaders, and communicate executive-level insights to drive risk outcomes.

Lead and mentor a team of analysts to deliver HR-related analytics and BI solutions. Mine and model large datasets, design tests, improve reporting and operational efficiencies, and collaborate across business units to inform strategy and product decisions.

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.

Lead modernization of operational risk analytics by driving AI adoption, predictive and real-time analytics, and strategic initiatives. Partner with technology, data science, and business teams to deliver executive-ready insights, manage cross-functional projects, and lead people to ensure high adoption and measurable business impact.

Lead Data Engineer responsible for designing data models, implementing data solutions, managing data pipelines, and collaborating with teams to drive technical initiatives.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.