Job Description Our client is seeking a Data Analyst to support a critical ERP transformation and SAP implementation initiative. This individual will be responsible for analyzing, cleansing, validating, and preparing data for migration from a legacy ERP system into SAP. Because data quality can make or break the success of an ERP implementation, this person will play a key role in ensuring the accuracy, completeness, and integrity of manufacturing and operational data throughout the migration process. The ideal candidate will have a strong understanding of ERP systems, data modeling, and data governance principles, along with advanced Excel skills and exceptional attention to detail. This resource will work closely with business users, project teams, and technical stakeholders to evaluate existing data structures, map legacy data to SAP requirements, and support data conversion, validation, and verification testing activities. Experience working with manufacturing data is highly desirable, particularly with Bills of Materials (BOMs), routings, material master data, and other production-related information. The successful candidate will be comfortable identifying data quality issues, resolving discrepancies, documenting business rules, and supporting cutover activities to ensure a seamless transition into SAP. While SAP experience is preferred, candidates with strong ERP implementation or migration experience and a solid understanding of enterprise data management will also be considered. In addition to technical capabilities, this role requires strong communication and project coordination skills. The ideal candidate can effectively partner with stakeholders across the business, manage competing priorities, and contribute to the overall success of a large-scale ERP transformation effort. This person must be willing to go onsite 4-5 days per week. Pay is $35-40 per hour based on experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field Experience working with ERP systems such as SAP, BPCS, Oracle, JD Edwards, or other enterprise platforms, with a strong understanding of enterprise data structures and business processes Advanced Microsoft Excel skills, including data analysis, cleansing, validation, reconciliation, formulas, pivot tables, and large dataset management Experience supporting ERP implementations, data migrations, master data management, or data conversion projects Experience performing data mapping, transformation, and validation activities between legacy and target systems Strong understanding of data quality, data governance, testing, and verification processes Data modeling experience and familiarity with data relationships across enterprise applications Experience working with manufacturing data, including Bills of Materials (BOMs), routings, material master data, inventory, and production-related datasets Strong attention to detail and analytical problem-solving skills with the ability to identify and resolve data discrepancies Excellent communication and stakeholder management abilities, with experience partnering with business users, project teams, and technical resources Ability to work onsite in the Arvada, CO area 4-5 days per week