Senior Data Business Analyst

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 The successful candidate will be expected to investigate ambiguous problems, challenge outdated assumptions, facilitate decisions, and help establish a more mature and scalable data operating model. Key Responsibilities • 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 business-analysis and data-governance practices as the team continues to grow. Required Qualifications • Strong experience as a Business Analyst working on data, analytics, business intelligence, data-governance, data-conversion, or enterprise data initiatives. • Demonstrated ability to investigate complex data environments and translate business needs into technical requirements. • Experience documenting data sources, ownership, lineage, definitions, classifications, integrations, or access requirements. • Ability to communicate effectively with technical engineers, business leaders, manufacturing stakeholders, and senior leadership. • Strong analytical skills and the ability to determine root causes rather than accepting incomplete or outdated explanations. • Experience working in environments where processes, requirements, and ownership are not yet fully defined. • Ability to independently drive discovery, decisions, and follow-through. • Willingness to work at both the strategic and detailed execution levels. • U.S. citizenship, including the ability to enter the federally governed Bloomington facility. Preferred Qualifications • Semiconductor, high-tech manufacturing, precision manufacturing, medical-device, aerospace, automotive, or another highly regulated manufacturing background. • Experience with legacy-system modernization, data classification, data security, access management, or data segregation. • Familiarity with SQL databases, data lakes, data warehouses, data marts, business intelligence, or AI/analytics environments. • Experience supporting mergers, acquisitions, divestitures, or environments requiring strict separation of customer and company data. • Experience working in a lean organization where individuals must operate across traditional role boundaries. Success Profile The strongest candidate will be hungry, curious, assertive, and comfortable asking difficult questions while remaining collaborative and professional. This person should know how to keep momentum moving, take sensitive conversations offline when appropriate, and continue pursuing answers until decisions are made. Candidates accustomed to highly specialized roles within very large, heavily staffed organizations may find the environment challenging; success will require rolling up one’s sleeves and personally driving the work. Why This Opportunity The organization operates at the forefront of semiconductor manufacturing, including quantum computing, military and commercial space technology, autonomous-vehicle components, and medical-device applications. The Data Business Analyst will help establish foundational data capabilities while supporting initiatives tied directly to manufacturing performance, customer protection, advanced analytics, and potentially significant business value.