Top Senior Data & Analytics Jobs

The Sr Analyst will utilize data and business acumen to generate insights for trade promotion and pricing initiatives, supporting revenue growth through analysis, reporting, and collaboration.

The Database Administrator enhances national security by providing technical expertise in data architecture, ensuring data integrity, and optimizing database systems in an Agile environment.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

The Strategic Growth Analyst tracks legislative signals and performs pipeline analysis to inform market competition, manages analytic products, and reports on KPIs, supporting strategic decision-making.

The SIU Analyst uses advanced analytics for customer claims data, identifies risk patterns, establishes KPIs, and visualizes trends to inform business strategies.

The Senior Business Analyst will document user stories, collaborate with stakeholders, analyze processes, and support IT projects to optimize business operations.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

As a Senior Data Engineer, you'll design and manage scalable data pipelines and infrastructure, transform raw data, and collaborate on AI-driven projects, ensuring high data quality and effective workflows.