Top Hybrid Senior Level Data & Analytics Jobs

Responsible for maintaining and enhancing the Apptio platform, developing reports, managing data integration, and supporting financial planning processes.

The VP will lead privacy strategy in alignment with business goals, manage privacy risks, and ensure compliance with regulations through collaboration and robust oversight.

As a Quantitative Analytics Associate Senior, you will support data-driven decisions in collections and recovery, leveraging analytics and machine learning to optimize financial outcomes. Responsibilities include data analysis, trend monitoring, and collaboration across functions to enhance collection strategies.

As a Senior Data Engineer at Hinge, you'll develop essential data processes, build and maintain data pipelines, and support data-driven decision-making within the Trust and Safety team.

As a Senior Product Analyst, you will analyze student data to drive product decisions, support cross-functional teams, and manage data infrastructure, emphasizing quantitative methods and tools.

Lead Data Engineer responsible for building and maintaining data solutions, automating processes, managing data transfers, and providing leadership on data engineering best practices.

The Associate Actuary will perform pricing and technical analysis for the Institutional Income Annuity business, collaborate with stakeholders, and optimize pricing-related processes.

The Senior Business Analyst will identify growth opportunities through data analysis, inform product strategy, and support cross-functional teams with actionable insights, enhancing global connections among scholars.

The Senior Manager, Data Analysis will lead a team to enhance audit delivery through data analysis in the Payments sector, drive data innovation, and manage a robust data environment.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

Looking for a Senior Data Analyst to analyze large datasets, develop dashboards, optimize business performance, and mentor juniors. Requires strong SQL, Python, and data visualization skills.

As a Senior Business Analyst, you will perform customer analytics to enhance customer strategy, analyze retention metrics, and build predictive models.