Top Data & Analytics Jobs

The Insights Associate will develop qualitative and quantitative research, analysis plans, and model insights for client strategies, while managing projects and communication.

The PLEXOS Modeling Consultant develops and evaluates models using PLEXOS software, collaborates with teams on modeling strategies, translates data into visual formats, and communicates findings to clients, promoting solutions to energy-related issues.

As a Quantitative Researcher, you will develop trading strategies and improve predictive models using statistical and machine learning algorithms, while collaborating with trading teams.

The Data Analyst will conduct data analysis, create visualizations, and collaborate with teams to derive actionable insights for DOW's contract, ensuring data integrity and security.

The Analyst supports Investment Applications by resolving system issues, managing enhancements, documenting requirements, and ensuring continuous operational improvement.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Turn channel data into actionable insights to improve partner behavior and forecasting. Analyze pipeline, deal quality, product mix, program ROI, and sales velocity. Deliver decision-ready recommendations, build dashboards, define data needs, and partner cross-functionally with Sales, Programs, and Ops to drive scalable revenue outcomes.

The role involves developing and integrating cloud-native data services and APIs, supporting data transformation, and maintaining backend services using AWS technologies.

Lead e-commerce analytics to drive commercial impact: build used dashboards, analyze acquisition/retention/funnel/channel performance, ensure tag/data-layer integrity (Tealium iQ), support A/B testing, and present actionable insights to stakeholders to grow online revenue.

The ETL Developer will analyze data, create migration paths, develop standard queries, document processes, and ensure data quality. They must also support transitions and understand business needs.