Senior Data Business Analyst

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you’ll work with a refreshingly real company led and staffed by seasoned experts who are also down-to‑earth, good people. We’re committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

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Role: Senior Data Business Analyst

Location: Hybrid in Bloomington, MN preferred; approximately 1‑2 days onsite per week

Employment Type: Six‑month contract-to-hire

Citizenship Requirement: Must be a U.S. citizen

Target Start: Around 9/7/2026

Rate: $70-$78/hour W2

Position Overview

The Senior Data Business Analyst will join a growing IT data, analytics, and AI organization within a highly technical semiconductor manufacturing company. The organization is building out its business intelligence, data, and integration capabilities while also navigating a major acquisition and increasingly complex data‑separation, security, and access requirements.

This individual will serve as a critical bridge between business stakeholders, manufacturing teams, data engineering, enterprise IT, AI teams, and technical leadership. The immediate focus will be understanding the company’s legacy data environment, documenting how information is used and owned, defining security and access requirements, and helping prioritize the systems and datasets that must be remediated, migrated, integrated, or replaced.

This is not a narrowly defined requirements‑gathering position. The successful candidate will be expected to investigate ambiguous problems, challenge outdated assumptions, facilitate decisions, and help establish a more mature and scalable data operating model.

• Partner with business, manufacturing, enterprise IT, AI, and data stakeholders to understand business processes, systems, data usage, and reporting needs.
• Conduct discovery across legacy applications, databases, data warehouses, data marts, and manufacturing systems.
• Document data sources, definitions, ownership, business purpose, sensitivity, security requirements, and downstream dependencies.
• Help identify data that belongs to customers or other external parties and define appropriate access and segregation requirements.
• Translate business, regulatory, customer, and security needs into clear data requirements and actionable technical work.
• Facilitate discussions to determine who should have access to specific systems and datasets and under what conditions.
• Help classify data into appropriate categories, such as public, internal, private, confidential, or restricted.
• Support the assessment and prioritization of legacy systems to determine which can be remediated, which require migration, and which should ultimately be replaced.
• Create current‑state and future‑state process flows, data mappings, requirements, user stories, acceptance criteria, and decision documentation.
• Partner with data engineers and architects on the evolution of the company’s data lakes, warehouses, marts, and reporting environment.
• Support initiatives to bring currently disconnected data into the enterprise data ecosystem.
• Help ensure data is appropriately structured and governed so technical teams can implement row‑level security and access‑management controls.
• Provide light project coordination by tracking decisions, dependencies, risks, action items, and progress across stakeholders.
• Help establish repeatable…