Top Analytics Jobs in Madison, WI

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

The role involves executing advanced analytics, applying statistical techniques, designing reporting capabilities, and translating business needs into analytical solutions while ensuring data integrity and communicating insights effectively.

Lead design and reporting of end-to-end labeling KPIs and dashboards, ensure data integrity and governance, support compliance forums, audits, and digital enablement, and provide analytic insights to drive process improvements and CAPAs while offering cross-trained operational backup.

Lead and scale Arcadia's Data & Analytics engineering org, define multi-year data platform and unified data model, optimize Snowflake architecture, enable cross-functional data usage, set governance standards, and drive technical execution across ingestion, transformation, and analytics.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Director of Analytics leads analytics strategies, data engineering, and statistical modeling to enhance decision-making for healthcare operations, managing a team and ensuring data integrity and quality.

Hands-on GA4 analyst contractor managing analytics across multiple clients: diagnose data quality and bot traffic, implement GTM tracking, build Looker Studio dashboards, collaborate with SEO/Paid/Strategy teams, and contribute to internal tooling and measurement improvements.

Lead and scale Arcadia's Data & Analytics engineering organization, define multi-year data platform architecture (Snowflake-based), drive platform governance and cross-organizational adoption, optimize large-scale data processing, and align data investments with business goals while building high-performing teams.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

The Actuarial Analyst 2 analyzes and forecasts financial data to support strategic decisions, ensuring data integrity, collaborating with stakeholders, and developing resolutions for data anomalies.

As an Analytics Engineer, you'll build foundational data infrastructure for GTM, design data marts, establish metric governance, enable AI insights, and collaborate across teams for scalable analytics.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The Senior Data Analytics Engineer will design and maintain data pipelines, optimize data models, and implement best practices for data governance and performance in a SaaS environment.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Director of Product Analytics will manage a team to set analytics agendas, assess product success, and enhance business reporting using data-driven strategies.