Top Senior Level Data & Analytics Jobs

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.

The Manager of Data Engineering will lead a team in designing and managing data mediation systems for billing and usage tracking. Responsibilities include overseeing data pipelines, ensuring performance and data integrity, driving process automation, collaborating with cross-functional teams, and managing project delivery and resources.

As a Senior Data Engineer, you will design and implement solutions for data sharing and processing. You will improve data pipelines, ensure performance and monitoring, and develop self-service analytics capabilities while implementing best practices for data governance and security.

The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.

The Senior Cost Analyst will support Supply Chain, Finance, and Operational Plant Management by conducting inventory and cost analyses. Responsibilities include developing standard costs, maintaining accurate inventory records, analyzing variances, preparing reports, and leading management meetings. The role also involves assisting with department policy maintenance and ensuring compliance with accounting principles.

As a Senior Analyst at Invesco, you will provide multi-asset research focusing on strategic asset allocation, portfolio construction, and fund selection. Responsibilities include developing capital markets assumptions, enhancing asset allocation processes, and researching new investment strategies. The position requires 5+ years of investment experience, detailed knowledge of portfolio construction, risk modeling, and proficiency in Python or R. A bachelor's degree is required, and a master's degree or CFA is preferred. The salary range is $140,000 - $160,000 per year.

The Staff Analyst, Digital Analytics will lead analytics projects affecting omnichannel business performance, work with stakeholders in Digital Operations and Product to solve ambiguous problems, analyze metrics, and mentor junior analysts. Responsibilities include reporting, strategic insights, and contributing to digital data strategy and A/B testing.