Top Senior Data & Analytics Jobs

Perform deposit pricing and portfolio analytics using large financial datasets. Analyze customer behavior, balance migration, product performance, pricing effectiveness, growth, mix, margins, and profitability. Develop recurring analyses, scenario models, and impact assessments; ensure data quality and governance; and present actionable insights to senior leadership. Collaborate with pricing, product, strategy, and analytics teams to support portfolio optimization and strategic rate decisions.

Analyzes deposit pricing, portfolio performance, customer behavior, balance migration, product outcomes, and profitability. Develops recurring, ad hoc, scenario, and business-impact analyses using large datasets. Partners with pricing, product, strategy, and analytics teams, creates leadership-ready visualizations and recommendations, and ensures data quality, documentation, governance, and analytical rigor.

Leads enterprise governance for permissible data use across business lines, analytics, and AI. Designs policies, controls, approval workflows, exception processes, monitoring, evidence management, and audit-ready documentation. Partners with legal, compliance, privacy, technology, risk, and AI governance stakeholders to manage data-use risks, prioritize governance tooling, develop reporting and enablement materials, and drive scalable operating models.

Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.

Leads People Analytics consulting engagements that help HR and business leaders make workforce decisions. Frames business questions, guides quantitative analysis, develops actionable recommendations, presents findings to executives, and measures adoption and impact. Partners with HR Business Partners, promotes governed self-service analytics, and ensures responsible use of employee data and AI. Requires fluency in SQL and analytics tools, plus expertise in workforce topics including retention, engagement, performance, planning, and organizational effectiveness.

Analyze and forecast consumer credit performance for Capital One’s card portfolio. Develop risk models, test hypotheses, identify business opportunities, and provide strategic recommendations to senior leaders. Support lending product, pricing, marketing, and customer experience strategies through quantitative analysis. Lead solution development, implementation, monitoring plans, and cross-functional initiatives with IT, Sales, Operations, and Finance teams.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

Lead the design and development of scalable data platforms and pipelines supporting analytics and AI/ML initiatives. Responsibilities include cloud-native data engineering, synthetic data generation, data transformation, governance, lineage, data quality, security, CI/CD, metadata management, and lifecycle optimization. The role also involves mentoring engineers, creating reusable frameworks, conducting peer reviews, and collaborating across teams to improve data access and platform capabilities.

Leads the data engineering roadmap and manages a team responsible for scalable ETL/ELT pipelines, cloud data platforms, data warehouses, integrations, governance, quality, and reliability. Partners with business, analytics, architecture, product, and AI/ML teams to deliver trusted data solutions, model-ready datasets, automation, and production AI/ML capabilities while establishing engineering best practices and mentoring technical staff.

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

Own and evolve business-critical data products, designing scalable data services, APIs, models, and batch or streaming pipelines. Lead projects through implementation, deployment, monitoring, and production support while applying AI tools throughout the software development lifecycle. Collaborate across engineering, product, data, and business teams, contribute to architecture and governance, improve reliability, and mentor earlier-career engineers.

Lead design, implementation, and optimization of enterprise data architecture and pipelines for manufacturing AI initiatives. Develop data models, ETL processes, data warehouses/lakes, APIs, and repeatable pipelines across multi/hybrid-cloud environments. Guide data standards, feature engineering for data scientists, and leverage AI, automation, and CI/CD for scalable solutions.

Manages data discovery, profiling, documentation, standardization, and governance initiatives. Partners with business, architecture, and engineering teams to define enterprise data requirements, maintain data quality, develop business rules, and lead User Acceptance Testing for data-centric projects. Serves as a data management subject matter expert, estimates project timelines, and supports reporting, analytics, and stakeholder queries.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.