Top Senior Data & Analytics Jobs

Lead a team of data analytics professionals, drive insights into revenue metrics, oversee data modeling, governance, and strategy for analytics solutions.

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 Data Product Management for G&A functions, shaping strategy, coordinating execution, and establishing practices within Finance, HR, and IT sectors. Engage stakeholders, ensure data quality and governance, and manage team growth while directly overseeing product delivery.

The Senior Product Analyst II will analyze product performance, define KPIs, partner with teams, and drive insights for business decisions.

The Data Manager Senior will design and manage AI-ready data products for retail banking, overseeing data integrity, strategy, and operations to meet organizational goals.

The role involves operational support for data warehouse systems, optimizing pipelines on AWS, managing CI/CD processes, and collaborating on data transformations.

Produce in-depth analyses of investigative data, identify performance and compliance risks, and communicate findings to leadership. Design and maintain ServiceNow case management dashboards and advanced Excel reports (VBA, Power Pivot). Support ad hoc case research, stakeholder coordination, and executive briefings to inform Corporate Investigations operations and strategy.

The Enterprise Data Architect designs and manages data architecture strategy and governance, ensuring data assets drive business insights and align with organizational objectives.

Design, build, and maintain scalable BI solutions and Power BI dashboards for CRM performance and lifecycle analytics. Integrate AEP, RTCDP, and CRM data, ensure data quality and governance, automate reporting across brands/markets, support attribution and migration to cloud, and collaborate with cross-functional teams to deliver actionable marketing insights.

The Data Engineer will architect ETL pipelines, manage a central data lake, and ensure data quality and best practices in collaboration with various teams.