Top Data & Analytics Jobs in Madison, WI

Define and lead enterprise data architecture centered on Snowflake, including source integration, ingestion frameworks, data modeling, governance, security, compliance, quality, lineage, and AI-ready data products. Build reference pipelines using AWS and Snowflake services, establish engineering standards, optimize performance and costs, and guide architecture decisions. Partner with analytics and AI teams, lead reviews, mentor engineers, and influence stakeholders across the organization.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

The Senior Growth Analyst partners with product, growth, and go-to-market teams to define objectives, monitor marketplace metrics, identify opportunities, and measure initiative impact. Responsibilities include building and maintaining dashboards, conducting SQL-based investigations, sizing opportunities, supporting trusted experiments, analyzing trends, and translating insights into execution direction. The role is remote-first with occasional onsite meetings in San Francisco.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Lead the vision and execution for scalable data governance and quality across Airbnb. Architect future-proof data ecosystems, define best practices and tooling, drive cross-functional policy implementation (privacy, legal, infosec), mentor senior engineers, and influence executive strategy to embed stewardship into the data product lifecycle.

Administers and engineers Microsoft SQL Server databases for NAVSUP, including database design, development, security, performance tuning, testing, backup and recovery, documentation, release support, and outage resolution. Collaborates with application developers, manages database instances and interfaces, supports CI/CD deployments, conducts quality audits, and ensures compliance with DoD and DoN policies.

Owns end-to-end business analytics for Neutrogena categories, delivering performance reporting, dashboards, competitive intelligence, and weekly business storytelling. Analyzes POS, share, retailer, and competitive trends to identify growth opportunities and risks. Partners with marketing, finance, customer strategy, and commercial teams on planning, forecasting, and business reviews. Translates complex data into executive-ready insights and narratives that influence strategic priorities and action plans.

Lead insurance risk analytics engagements for property and casualty carriers. Responsibilities include product demonstrations, regulatory filing guidance, pilot and proof-of-concept design, loss ratio and model validation analysis, client project management, discovery sessions, and translating insights for actuarial, underwriting, and executive audiences. The role also develops AI-assisted workflows and provides customer feedback to product teams.

Build and deliver Azure and Microsoft Fabric data solutions for clients. Responsibilities include developing data pipelines with Azure Databricks, Data Factory, Synapse Analytics, and Fabric; writing SQL, Python, and PySpark; supporting data integration, testing, deployments, troubleshooting, CI/CD, and infrastructure management. The role involves consulting with client stakeholders, collaborating with architects and developers, and delivering modern data platforms and reporting solutions.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.