Top Analysis Reporting Jobs in Madison, WI

Supports real-time media monitoring, stakeholder insight analysis, data preparation, alerts, briefings, and client reports. Responsibilities include tracking news across platforms, creating Excel pivot tables, updating charts and graphics, interpreting reputation-risk scoring, conducting research, and translating data into clear narratives. The intern collaborates with analysts to identify trends and emerging risks while developing analytical, writing, and business intelligence skills.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.

Analyze Medicare Advantage and ACA risk adjustment data, CMS datasets, claims, encounters, eligibility, pharmacy, and medical record data. Develop SQL queries, reports, scorecards, dashboards, forecasts, and recommendations to improve risk adjustment performance, data quality, operational efficiency, and revenue. Partner with clients, executives, operations, technology, and analytics teams on solution development, process improvement, and strategic initiatives.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Owns Voice of Customer measurement, customer research, surveys, segmentation, personas, and family experience metrics. Analyzes qualitative and quantitative feedback, develops actionable insights, supports predictive modeling, and presents recommendations to marketing, operations, and executive stakeholders. The role requires survey design, statistical significance testing, SQL querying, executive communication, and translating customer research into business decisions.

Own and evolve production data systems supporting healthcare, claims, billing, analytics, and reporting. Design resilient ingestion patterns, data contracts, models, schemas, and pipelines that handle incomplete, duplicated, delayed, and changing data. Improve performance, observability, failure handling, retries, backfills, and replay safety. Collaborate with engineering, product, operations, and analytics teams while making architecture decisions and documenting technical changes.

Own solution design, implementation, and debugging for Hightouch’s Identity Resolution product. Work directly with customer data architectures, configure identity models, write SQL against data warehouses, investigate data discrepancies, explain system behavior, and surface product gaps. Partner with sales engineering, support, technical account management, and executives to deliver customer solutions and advise on data strategy. Use coding agents while reviewing implementation quality and maintaining best practices.

Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Deliver customer-facing technical training in data engineering and AI through virtual and onsite sessions. Create tailored courses, projects, certifications, and assessments aligned with customer roles, tools, and business outcomes. Partner with Customer Success, Sales, Product, and Content teams to design blended learning paths, drive platform adoption, and improve measurable skills. Support diverse technical and non-technical audiences across time zones, with occasional onsite travel and success metrics tied to customer satisfaction, bookings, and professional services revenue.