Top Data & Analytics Jobs

Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.

Lead and mentor a team of analysts to drive risk product strategy using large-scale data analysis, model testing, BI, and reporting. Design and implement data storage/production systems, run experiments, improve processes, and collaborate across business units to deliver analytics-driven product and customer experience improvements.

Serve as strategic thought partner to the Chief Data Officer; lead enterprise data strategy projects, conduct qualitative and quantitative analysis, craft insight-driven narratives, influence senior stakeholders, build cross-enterprise partnerships, manage teams and projects, and drive execution of data priorities to improve business outcomes.

Leads the design and development of scalable, fault-tolerant streaming data platforms, distributed data pipelines, analytics data stores, and cloud-based solutions. Mentors engineers, establishes data architecture and pipeline best practices, collaborates across Agile teams, and works with security and product partners. The role requires building, testing, tuning, and supporting real-time data systems using technologies including Flink, Spark, Kafka, Snowflake, Redshift, and cloud services.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Drive people strategy analytics: analyze historical data and benchmarks, build statistical models, support product/marketing/credit risk decisions, partner cross-functionally, implement analytically driven solutions, and communicate data-driven stories to senior leaders.

As a Senior Manager, Data Analysis, you will validate analytical tools, enhance technical skills, manage projects, and coach junior staff while collaborating cross-functionally.

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 Engineer designs, develops, tests, and supports cloud-based, distributed data solutions. Collaborates across Agile teams, mentors engineers, works with big data, streaming, NoSQL and data warehouse technologies, and ensures performant, well-tested code for customer-facing products.

Lead a team of analysts to drive strategy, mine and analyze large datasets, build and validate models, improve reporting and processes, design tests, and collaborate across business units to enhance business card and payments products.