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Workday; PRISM Implementation Analyst

Job in Augusta, Kennebec County, Maine, 04338, USA
Listing for: Samprasoft
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Workday (PRISM) Implementation Analyst

Business Analyst For Workday Implementation Project

Our clients Workday implementation project seeks 2 skilled Business analysts to contribute their expertise to our project team. As a Business Analyst, you will be crucial in diagnosing data issues, recommending solutions, and collaborating closely on data conversion rule validation related to a complex ERP implementation. Additionally, youll be instrumental in other various project activities such as additional business analysis, documentation, and performing some testing related to data or integrations.

As a critical contributor to the State of Maine Workday implementation, you must establish high-quality standards and lead by example.

Top 3

Skills:

Workday Prism HCM and/or Payroll Expert with Excel V Look-Ups Ability to synthesize multiple sources of data/information and compile into a cohesive presentation.

Key Responsibilities:

  • Collaborate with stakeholders to monitor, support, and research data quality and cleanup efforts
  • Conducting Root Cause Analysis on Data Issues, facilitating comprehensive solutions
  • Data Validation
  • Ticket Management (JIRA)
  • Gather, analyze, document, validate and communicate business requirements effectively
    - General project documentation (i.e. meeting notes, drafting proposals)
  • General support through testing phases: researching issues, providing guidance on defect resolution
  • Other Project Support tasks as identified.

Required Skills

  • Exceptional written and verbal communication skills
  • Strong analytical skills to analyze data structures, identify data discrepancies, and ensure data integrity
  • Basic understanding of technical concepts related to ERP systems, such as database structures
  • Expert with Excel (VLOOKUPs, pivot tables, concatenations, etc.
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