Top Data & Analytics Jobs

Lead a team of people analytics analysts to deliver talent acquisition and international strategy analytics. Own data standards, end-to-end projects, pipeline integrity, AI/automation prototyping, and executive reporting while coaching staff and translating technical insights into recommendations for senior leadership.

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Lead analytics for Network Products & Platforms, turning network data into AI-enabled insights. Drive product analytics, operational planning, cross-functional coordination, people development, and data product strategy to improve payment network performance, reliability, and profitability.

The Lead Data Engineer designs and develops technical solutions, collaborates with Agile teams, and utilizes big data technologies, cloud computing, and full-stack development to drive digital transformation at Capital One.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

Lead strategy and analytics for Emerging Payments: develop product and pricing strategies, run analytics and credit risk modeling, manage 1-2 analysts, drive marketing and experimentation, execute business requirements, partner cross-functionally, and communicate insights to senior stakeholders to improve growth and profitability.

Lead data analysis and build/manage data solutions using scripting and open-source tools. Partner with business to create dashboards and drive insights. Manage data quality, metadata, lineage, governance, and collaborate with tech teams on security and access. Develop monitoring tools and support self-service data capabilities.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.