Top Hybrid Senior Level Data & Analytics Jobs

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

The Manager, Global Demand Insights will drive consumer-centric growth through data analysis and methodology evolution, collaborating with global teams to enhance business strategies and innovations.

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

As a Senior Business Analyst, you will analyze product strategies, conduct modeling, improve credit performance, and guide product direction through data insights, working closely with multiple teams to achieve objectives.

The Senior Risk Associate will lead and support risk reporting, metric governance, and analysis to enhance operational risk management.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

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

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

Lead the Customer Analytics team to drive business growth through customer insights and analytics. Collaborate with cross-functional teams to design data-driven strategies and ensure analytics rigor. Manage talent and promote a culture of insightfulness within the team.

The role involves building scalable data pipelines, optimizing ETL workflows, designing data schemas, and ensuring data quality and governance while collaborating with cross-functional teams.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.