Top Hybrid Data & Analytics Jobs

As a Partner Strategist, you will implement data strategies, manage audience recommendations, and maintain relationships with data partners to drive growth.

As a Senior Data Engineer, you will design, build, and scale data pipelines and analytics capabilities, focusing on data modeling, ingestion, and automation using Python and PySpark in a healthcare context.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

Own end-to-end data and analytics for SaaS clients: collect requirements, stand up data infrastructure, migrate reporting to Valon Data Schema, build dbt pipelines, rewrite SQL queries and dashboards, conduct analyses, and support client operations under tight deadlines.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

The Technical Writer will manage product documentation, ensuring accuracy and relevance for developers. They will own developer-facing docs, improve the developer experience, and collaborate with engineers and support teams.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

The Analytics Manager leads analytics and business intelligence projects, mentors teams, collaborates with stakeholders, and drives data strategy for clients.

The Workday HRIS Analyst will implement and optimize Workday, manage HR data, develop reports, and ensure compliance. Collaboration with HR and IT is essential.

The Senior Actuary will develop pricing models, analyze product performance, drive initiatives for professional lines, and collaborate across teams to support data-driven decisions and manage risk.