Top Data & Analytics Jobs in Madison, WI

Lead DW/BI architecture and ETL design using Informatica and Teradata. Drive dimensional modeling, ETL/OLAP solutions, RDBMS performance tuning, and technical consultation across global onsite/offshore teams. Engage in design reviews, estimation, and customer presentations; life-sciences experience preferred.

As a Senior Data Scientist, you will apply statistical techniques on weather data, improve operations, and lead projects while collaborating with teams.

Looking for a Senior Technology Informatica Architect with over 11 years of IT experience focusing on DW/BI, design and architecture, and consulting. Requires extensive knowledge of ETL frameworks and performance tuning, along with strong communication and analytical skills.

The Data Modeler will work on dimensional and operational modeling, focusing on data dictionary work, XML schema design, and profiling sources into target models. Communication with clients and offshore teams is essential.

As a Consultant in Network MDM, you'll provide strategic advisory and application administration for clients live with Veeva Network, optimizing their MDM systems and ensuring compliance with business needs and regulations.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Supports DHA MEPRS cost-accounting activities through recurring data processing, validation, reconciliation, analysis, reporting, and customer support. Extracts and analyzes personnel, workload, financial, and other datasets using SAS, Excel, and reporting repositories. Investigates data-quality issues, troubleshoots root causes, documents findings, develops recurring and ad hoc analytical products, communicates results, and improves or automates processes.

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.