Acumatica Data Warehousing Specialist ERP

Description An organization undergoing an Acumatica ERP implementation is seeking a Data Warehousing Specialist to support master data transformation, mapping, and validation activities during the transition from a legacy system to Acumatica. The legacy platform utilizes text‑based item descriptors rather than structured item numbers, creating a complex data normalization requirement. This role will serve as the dedicated resource to manage and execute these data tasks, working closely with the implementation partner and internal stakeholders. Key Responsibilities + Lead the conversion of legacy master data from descriptor‑based formats to structured item numbers required by Acumatica. + Develop, document, and execute data mapping, transformation, and validation rules to ensure accuracy and consistency. + Collaborate with internal subject matter experts to understand existing descriptors, item definitions, and business logic. + Coordinate with external implementation partners to ensure timely and accurate data processing and troubleshoot roadblocks. + Maintain an organized inventory of data assets, mapping tables, transformation logic, and reference documentation. + Perform hands-on data cleansing, normalization, and enrichment to prepare data for Acumatica ingestion. + Conduct root-cause analysis on data inaccuracies and develop scalable correction and prevention methods. + Support data testing cycles, including mock conversions, validation scripts, and exception reporting. + Provide ongoing oversight of data structure alignment with ERP design, workflows, and reporting needs. + Serve as the primary point of contact for all data-related tasks within the ERP project. Requirements Required Skills & Qualifications + 3+ years of experience in ERP data management, data warehousing, or master data governance (Acumatica experience preferred). + Strong understanding of data mapping, ETL processes, normalization techniques, and master data structures. + Proficiency with Excel, SQL, or similar tools used for data transformation. + Experience working with implementation partners and cross-functional technical teams. + Ability to interpret unstructured data, create standardized item hierarchies, and convert descriptors to item numbers. + Strong analytical, organizational, and problem-solving skills. + Ability to manage multiple priorities and operate effectively under time constraints. Preferred Qualifications + Experience with Acumatica or other modern cloud-based ERP platforms. + Background in operations, supply chain, construction, or inventory-heavy environments. + Familiarity with data governance frameworks and data quality methodologies. Technology Doesn't Change the World, People Do.® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .