Top Data & Analytics Jobs

Lead analytical work to identify business challenges and recommend solutions across product, marketing, and credit risk. Build models, perform SQL-based analysis, support go-to-market strategies, drive implementations with cross-functional partners, and monitor outcomes to improve profitability.

Lead analytical strategy for a $30B deposit portfolio: build models, use AI tools (including Gemini), support product/pricing, marketing, and credit risk decisions, drive implementation with cross-functional partners, and deliver actionable insights to improve profitability and liquidity management.

As a Senior Data Analyst at Capital One, you'll innovate data solutions, enhance business intelligence tools, and manage data quality in the retail bank sector.

As a Sr. Lead Data Engineer, you'll collaborate across teams to develop technical solutions, lead developers, and utilize big data technologies and cloud services to support data transformations.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

The Senior Manager, Data Analysis will validate business impacting analytical tools, assess methodologies, coach junior staff, and execute validation projects.

The Manager will lead payments governance and oversight initiatives, implement data reporting frameworks, and enhance risk management practices through stakeholder collaboration and data insights.

The Senior Data Analyst will innovate and manage data solutions, provide business intelligence, and ensure data quality management while collaborating with various teams.

As a Principal Data Analyst, you will innovate and manage data solutions, translate business needs into tools and insights, and ensure data quality management.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.