Data Conversion Specialist

Job Description

Role : - Workday - Data Conversion Specialist

Location : Tampa, FL, USA / Cary, NC, USA Must

Have Technical / Functional Skills Bachelor’s degree in Information Systems, Data Analytics, Finance, or related field(s). 5+ years of experience working with Workday Finance or other modules (reporting, analytics, or data management). Strong knowledge of Workday Reporting (Advanced, Matrix, Composite, Prism Analytics). Hands-on experience with EIBs, calculated fields, and business process configuration. Proficiency in Excel, SQL, or other data analysis tools is a plus. Strong analytical skills with the ability to interpret data and provide actionable insights. Excellent communication and stakeholder management skills. Ability to work independently in a fast-paced, dynamic environment. Data analysis, Data preparation and formatting, Data load execution (EIB / Load), Data migration, end-to-end data conversion, reporting and metrics validation. Candidate must have done at least 1 Workday implementation in finance data conversion. Thorough knowledge on customer central for finance data conversion. Roles & Responsibilities Develop, maintain, and optimize Workday reports, dashboards, and calculated fields across Finance and other modules. Partner with HR, Finance, and IT teams to analyze business requirements and translate them into effective reporting solutions. Perform data validation, data audits, and reconciliations to ensure accuracy, compliance, and consistency. Manage data uploads, mass changes, and EIBs (Enterprise Interface Builder) as required. Support Workday data integrations with other enterprise systems by analyzing requirements and monitoring data flows. Ensure compliance with data governance, privacy, and security policies. Provide ad hoc analysis and insights to leadership teams to support workforce planning, financial forecasting, and other business initiatives. Collaborate with cross-functional teams to drive process improvements and automation within Workday. Troubleshoot reporting and data issues, providing timely resolutions. Pre-Screening Questionnaire At least three questions and answers for “must-have” skills. 1. What does data conversion mean in a Workday implementation? Keywords : “Moving data from legacy systems into Workday” “Extract, transform, load (ETL)” “Preparing employee, position, compensation, and benefits data” “Done during implementation or cutover” Red flag : Says it’s about integrations only. 2. What types of data are typically converted into Workday? Keywords : “Worker data (employees, contingent workers)” “Job, position, organization, compensation, benefits, time off” “Historical data / limited history / balances” “Can be items outside this list, judge the confidence” Red flag : Can’t name any key data objects. 3. What tools or templates are used for Workday data conversion? Keywords : “Workday Data Conversion Templates (Excel-based)” “EIB (Enterprise Interface Builder)” “Workday Spreadsheet Templates” Red flag : Doesn’t know about Workday templates or EIB uploads. 4. Can you explain the general steps in a Workday data conversion process? Keywords : “Extract data from legacy system → Transform → Load into Workday” “Mapping, validation, reconciliation” “Mock conversions / test loads” Red flag : Can’t describe the sequence or mentions unrelated processes. 5. What is data mapping and why is it important? Keywords : “Mapping legacy data fields to Workday fields” “Ensures data fits Workday structure” “Used to identify gaps or transformations needed” Red flag : Doesn’t mention mapping or gives only a vague answer. 6. Which Workday tool do you use to load data? Keywords : “EIB (Enterprise Interface Builder)” “Workday Spreadsheet Loader (WSL)” “iLoad (for older versions)” Red flag : Mentions APIs only — that’s for integrations, not data loads. 7. How do you validate or reconcile converted data? Keywords : “Compare legacy vs Workday counts and totals” “Validation reports / audits” “Error logs from EIB or Workday reports” Red flag : No mention of checking or reconciliation. 8. How many data conversion cycles are typically done before go-live? Keywords : “Multiple cycles — usually 2–4 mock loads” “Final load (cutover) before go-live” Red flag : Says “just once” or “only final load.” 9. What are some common challenges in Workday data conversion? Keywords : “Data quality issues” “Mismatch between legacy and Workday structures” “Business process dependencies” “Security and validation errors” Red flag : Doesn’t mention data issues or Workday constraints. 10. Can you give an example of a conversion you worked on? Keywords : “Converted employee data from legacy HR to Workday” “Used mapping sheets and EIB templates” “Validated using Workday reports or reconciliation scripts” “Can be other examples as well, judge by level of confidence” Red flag : Talks only about integration (ongoing interfaces), not initial load.