Top Data & Analytics Jobs

Lead analytics engineering to design and maintain transformation layers, data models, and semantic layers. Ensure data quality, governance, observability, and single source of trusted metrics. Modernize reporting, support self-service analytics, collaborate across teams, review and test code, and leverage AI to improve analytics outputs.

As a Senior Marketing Analyst, you will provide data-driven insights to drive marketing strategy, analyze campaign effectiveness, and manage analytics for B2B growth.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

Analyze large healthcare datasets to identify trends and KPIs, build and automate interactive dashboards and reports, ensure data quality and governance, support data modeling and ETL efforts, partner with stakeholders to translate requirements into analytical solutions, and mentor junior analysts.

Perform HEDIS-focused user acceptance testing and data validation for UI and reporting applications. Analyze health plan and claims data, write SQL/Python/PySpark/shell scripts, develop data-driven metrics, perform root-cause analytics, prepare HEDIS deliverables and audits, and provide subject-matter guidance to customers while managing high-visibility projects.

Lead design, implementation, and optimization of automated, auditable data integrations for pharmacy solutions. Collaborate with engineering, product, and AI teams to ingest and share data, enable data mesh and governance, and evaluate emerging technologies to improve scalability, performance, and reliability.

Drive revenue insights and recommendations using demand-supply analysis, forecasting, scenario modeling, and KPIs. Lead business unit revenue forums, identify risks and opportunities, and improve forecasting processes and decision frameworks while using AI tools.

Provide revenue insights and recommendations via forecasting, demand-supply analysis, scenario modeling, and KPIs. Lead business unit revenue forums, identify risks and opportunities, and improve forecasting processes using AI tools to influence supply prioritization, customer strategy, and investments.

Manage and develop information systems, perform data analysis, design data architectures and storage, ensure data integrity and availability, resolve integration and security issues, and advise stakeholders on data implementation and acquisition strategies.

Senior Solution Architect responsible for strategy, solution and data architecture across application, platform, and data domains. Designs scalable system and data architectures, defines data models and integration patterns, governs data platforms (warehouses, lakes, streaming, cloud services), ensures non-functional requirements and regulatory alignment, partners with stakeholders to produce roadmaps, and drives adoption of emerging data and AI/ML technologies.

Senior Solution Architect responsible for strategy, solution and data architecture across application, platform, and data domains. Designs scalable architectures, data models, integration patterns, and data platforms (warehouses, lakes, streaming, cloud). Partners with business and engineering teams to ensure architectures meet functional, nonfunctional, governance, security, and regulatory requirements while enabling analytics, AI/ML, and transformation.

Own the analytics foundation for Fieldguide Insights: design the semantic layer, define canonical tables/metrics, migrate report logic into governed dbt models, harden pipelines with monitoring and alerts, ensure data quality, and partner across product, engineering, and customers to enable reliable BI and emerging LLM/MCP analytics.

The Business Intelligence Analyst will analyze data usage of service platforms, create reporting solutions, and present insights to leadership. They will also mentor other analysts and participate in cross-functional projects.

Lead development, maintenance, and governance of ADSD dashboards and reporting tools. Own performance metrics, ensure data integrity, design dashboards and AI agents, support leadership and field teams, lead metric rollouts and calibration, and provide insights to drive operational decisions.

Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.

The Vice President of Digital Product Analytics & Insights will lead analytics strategy for Digital products, manage a team, and drive data-driven decision-making across the business units.

Convert shopper and retail environment data into actionable category, retail and customer strategies. Develop consumer selling stories using segmentation, generate behavior-changing insights, curate social intelligence, and drive data-informed recommendations for innovation, communication, and revenue planning. Partner with marketing, sales, customers, and agencies to integrate shopper insights into plans and optimize performance.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.