Top Data & Analytics Jobs

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

The Senior Lead Data Engineer will design, develop, and support technical solutions, lead a team, and work with cloud-based services, focusing on data integration and transformation.

As a Lead Data Engineer, you'll design and build scalable data platforms, develop streaming data pipelines, and collaborate within Agile teams to implement data solutions.

As a Senior Lead Data Engineer at Capital One, you'll lead a development team, utilizing various big data and cloud technologies to deliver impactful solutions. Responsibilities include collaborating with Agile teams, mentoring, and ensuring optimal code performance.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

Lead Data Engineer builds and maintains foundational, cloud-based data platforms for transaction analytics. Collaborates with Agile teams to design, develop, test, and deploy data solutions using big data, streaming, and warehousing technologies, mentors engineers, and ensures performant, production-ready code.

As a Business Analysis Manager, you will develop strategies, manage analysts, and lead product analytics to improve consumer experiences and performance metrics for the Retail Bank at Capital One.

Lead analytics for enterprise marketing and messaging: build data solutions and self-service tools, mine varied data sources, develop dashboards and BI insights, ensure data quality/lineage and governance, collaborate with tech teams on security and access, and monitor data quality.

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.