Top Analysis Reporting Jobs in Milwaukee, WI

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.

Design and build scalable data infrastructure, including lakehouse architecture, ClickHouse deployments, ETL/ELT pipelines, and data models connecting Postgres with analytics systems. Establish data quality, observability, performance, cost, and reliability standards. Collaborate with product and engineering teams, define data contracts and specifications, support real-time analytics, and use AI-assisted coding and LLMs to accelerate pipeline development and transformation.

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Processes monthly Medical Expense and Performance Reporting System data across financial, labor, workload, and electronic health record systems. Performs data quality reviews, variance analysis, reporting, transmission, and troubleshooting for Defense Health Networks and Military Treatment Facilities. Develops Excel-based analytical tools and reports, supports MEPRS coordination, attends related meetings and site visits, and recommends performance improvements. Requires knowledge of DoD financial management, cost accounting, MEPRS procedures, and associated defense healthcare systems.

Leads and develops a data engineering team responsible for ingestion, Snowflake administration, orchestration, CI/CD, data integrations, and platform reliability. Owns technical strategy, production operations, access controls, cost management, incident response, and engineering standards. Partners with product, analytics engineering, DevOps, and business stakeholders to deliver scalable data solutions. Mentors engineers, sets goals, prioritizes work, and supports organizational growth.

Designs and implements enterprise cloud data architectures supporting analytics, geospatial visualization, data integration, migration, governance, and high-performance querying. Develops conceptual, logical, and physical data models, data lakes, data marts, OLAP solutions, reusable SQL metrics, and Gold-layer structures using Azure services and SQL Managed Instance. Advises clients and business leaders, aligns technical decisions with enterprise roadmaps, leads data modernization efforts, and optimizes performance, scalability, and cost.

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.

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.

Supports ERP data migration and harmonization initiatives by mapping, cleansing, validating, and standardizing business-unit data for SAP S/4HANA implementations. Resolves data defects, validates business rules, develops data-quality metrics and reports, and collaborates with data subject-matter experts and migration teams. Continues supporting data accuracy, governance, and integrity after migration.

Own advanced advertising measurement strategy for Connected TV, including incrementality testing, lift studies, attribution, experimental design, and performance validation. Advise customers and internal teams on interpreting complex measurement results, lead analytical enablement, partner with engineering and measurement vendors, resolve ambiguous post-launch challenges, and translate cross-customer insights into product strategy, go-to-market materials, and scalable best practices.