Top Data & Analytics Jobs

The Data Engineer will design, build, and maintain scalable data pipelines, develop ETL workflows using Python and SQL, and optimize data processes to ensure reliability and performance.

Perform analysis and build scalable data models, dashboards, and self-serve tooling to inform product, engineering, and leadership decisions. Implement ETL, maintain BI platforms, and deliver data products and visualizations for internal teams and clients to improve operational efficiency and business strategy.

Analyze customer and item-level pricing and margins, manage Corporate Multi-Unit and local contract bids and order guides, recommend price and margin improvements to purchasing and sales, review daily margin and market reports, and assist leadership with queries/reports to grow profitability.

Support a core set of clients by guiding users on Numerator's Insights platform, performing ad-hoc/custom analyses using proprietary consumer panel data, delivering actionable analytic insights and recommendations, and presenting findings across channels including industry forums and written content.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Design, develop, and deliver enterprise BI solutions and dashboards using Power BI and Azure. Integrate data from Policy, Claims, Billing, Agency systems and third parties, build semantic/data models, implement RLS, optimize queries, ensure governance, data quality, and support analytics for Claims, Underwriting, Finance, and Operations.

Lead and scale the modern data engineering foundation: set architecture standards, assess and refactor data infrastructure, build ELT/streaming pipelines, enforce data modeling and RFC processes, own observability and CI/CD, and manage/prioritize the data science team while communicating progress and risks to leadership.

Build and maintain scalable ETL/data pipelines and internal frameworks to support ML and product teams. Drive architecture, observability, data quality, and engineering best practices across AI/ML workflows and prompt-engineering pipelines.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Lead multi-source strategic analysis across media, digital, audience and market intelligence. Uncover trends, build measurement frameworks, analyse campaign performance, and translate complex data into clear strategic recommendations. Partner with client teams, present findings to senior stakeholders, contribute to pitches, and explore AI tools to enhance research and insights.