Top Analysis Reporting Jobs in Madison, WI

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.

Designs and maintains secure, reliable data platforms, including relational data models, migrations, pipelines, monitoring, data quality processes, and self-service reporting access. The role protects PHI and PII through access controls, encryption, audit logging, and governance in a HIPAA environment. It also involves backend API development, code reviews, security reviews, stakeholder collaboration, and mentoring teams on data practices.

Build and maintain reconciliation data pipelines, dbt models, matching logic, anomaly detection, monitoring, and exception-handling systems for financial transactions. Own data definitions, lineage, testing, and quality standards while automating manual workflows. Partner with Engineering, Finance, Accounting, and Operations to solve complex transactional-data problems and apply practical AI and machine learning techniques.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Build customer-facing data products for the single-family rental market. Responsibilities include architecting real estate data models, designing reliable data pipelines and workflows, shaping data platform architecture, establishing engineering standards, and developing real estate domain expertise. The role partners with data science and product teams and requires leadership in scalable data engineering.

Analyze behavioral, transactional, and interaction data to identify fraud patterns and emerging threats. Develop monitoring frameworks, dashboards, and mitigation solutions; evaluate AI fraud-review decisions; and translate findings into prompt, rule, workflow, and machine-learning feature improvements. Collaborate with Fraud Operations and Machine Learning teams, participate in code reviews, and mentor junior analysts. The role requires strong SQL and Python skills, statistical analysis expertise, business judgment, and fraud analytics experience.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Leads the design and implementation of business intelligence solutions, maintaining Power BI data models and building enterprise dashboards for finance, human resources, and conservation programs. Investigates business questions, translates requirements into technical specifications, guides analytics projects, enables self-service analytics, and advances AI-enhanced workflows. The role also supports data governance, documentation, troubleshooting, stakeholder communication, and data-driven decision-making.