Top Data & Analytics Jobs

Serve as a trusted client advisor delivering actionable insights from NIQ data and tools. Lead client discussions, translate business questions into analytic approaches, manage multiple projects, coach junior team members, and drive client satisfaction through timely, high-quality analysis and recommendations.

Support strategic planning and leadership reporting by building dashboards and scorecards, analyzing financial, workforce, and operational data, producing executive-ready materials, ensuring data validation and reconciliation, tracking initiative portfolios, and driving self-service reporting and automation while partnering with stakeholders across technology, operations, finance, HR, and executive leadership.

Perform data collection, cleaning, validation, exploratory analysis, and visualization to produce dashboards and reports. Write SQL and use Python/R and visualization tools to generate insights, support cross-functional teams, maintain documentation and data quality, and assist senior analysts on modeling and forecasting.

The Product Analyst will manage the product experience, consult clients, collaborate with internal teams, and guide new features in biotech and pharma contexts.

Design and build scalable data solutions and pipelines on Palantir Foundry, model enterprise datasets, enable analytics and AI/ML use cases, integrate cloud data services (AWS/Snowflake), develop Foundry-based applications, and apply DevOps practices for performant, production-grade data platforms.

Design, build, and maintain Power BI dashboards and interactive front-end visualizations using Databricks-hosted data. Collaborate with engineers, analysts, and product leads to translate requirements, apply UX/UI and accessibility best practices, iterate on stakeholder feedback, and ensure consistent visualization and reporting standards.

Support the Optimization team by collecting, mapping, cleaning, and analyzing business data; maintain project documentation and databases; attend meetings; collaborate with operations and sales teams to identify data issues and suggest improvements.

Support end-to-end consumer research: design and program surveys, monitor data collection, analyze results using Excel or statistical tools, conduct secondary research, and create a visually engaging report with recommendations for internal stakeholders.

Design, develop, and maintain Databricks-based data pipelines and ETL/ELT processes. Collaborate with analysts and data scientists to deliver reliable datasets, monitor pipeline performance and data quality, manage cloud data infrastructure, and support data governance, documentation, and analytics teams.

Build, scale, and maintain data pipelines and transformation layers to ingest diverse sources, ensure data reliability and freshness, optimize data models and compute, create a semantic layer for self-service analytics, support BI reporting, collaborate with cross-functional leadership, and mentor analysts and scientists on engineering best practices.