Data Conversion Analyst
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- Location
- Salt Lake City, Utah
- Work type
- Hybrid
- Posted
- today
- Apply on
- epej.fa.us2.oraclecloud.com
About this role
We are seeking a meticulous and proactive Data Cleansing and Certification Analyst to join our global ERP digital transformation team. The successful candidate will focus on data cleansing and certification throughout the data conversion lifecycle, ensuring the accuracy, integrity, and quality of data migrated into the new ERP platform. This role is hybrid, with an expectation to be in the office at least 60-70% of the week.
This role requires exceptional analytical thinking, attention to detail, professional judgment, and adherence to standardized methodologies to ensure data conversion activities remain accurate, transparent, and audit-ready throughout the ERP implementation lifecycle.
SUCCESS IN THIS ROLE INCLUDES
Producing accurate, repeatable, and well-documented validation results.
Following established methodologies while exercising sound professional judgment.
Working independently while appropriately escalating risks or uncertainties.
Maintaining organized and audit-ready work products.
Communicating proactively and collaborating effectively across functional teams.
Continuously improving technical knowledge while supporting standardized team practices.
Responsibilities
Data Conversion Procedures:
Support data conversion activities from data cleansing and extraction through business validation.
Assist in developing conversion procedures and tools that support data quality and validation objectives.
Data Validation and Documentation:
Perform rigorous business validation processes to ensure data accuracy and completeness throughout the conversion process.
Identify, investigate, and resolve data-related issues.
Maintain complete, organized, and auditable documentation that enables another analyst or auditor to independently understand, reproduce, and verify validation results.
Quality Assurance and Validation Integrity:
Triage and track issues or defects, collaborating with workstream teams to drive resolution throughout the data cleansing and validation process.
Execute validation activities using established methodologies, approved tools, and documented procedures.
Escalate risks, unresolved issues, and process concerns as appropriate.
Certification:
Participate in formal certification activities by validating that converted data meets established quality, completeness, and business acceptance criteria.
Prepare validation evidence and supporting documentation required for certification reviews.
Communication and Continuous Improvement:
Provide stakeholders with timely updates regarding data cleansing progress, risks, and issue resolution efforts.
Recommend process improvements supported by analysis and aligned with established team standards.
Professional Ownership:
Take ownership of assigned validations from planning through completion, proactively identifying risks, communicating status, and delivering high-quality work products that are complete and presentation-ready.
KEY CHALLENGES
Managing the complexity of data from multiple legacy systems while ensuring seamless integration into the new system.
Identifying, documenting, and resolving data discrepancies throughout the cleansing, certification, and post-conversion validation processes when working with tight deadlines and across multiple teams.
Qualifications
Bachelor's degree in Business Administration. Accounting, Computer Science, Information Technology, or a related field.
4+ years of experience in data management, data conversion, or a related role.
Demonstrated advanced proficiency in Microsoft Excel, including complex formulas, data analysis, and Power Query.
Experience supporting data conversion projects, preferably within a large-scale ERP implementation.
Strong analytical reasoning skills with the ability to distinguish root causes from symptoms and evaluate data objectively.
Proficiency in data management tools and software.
Strong communication and interpersonal skills.
Demonstrated ability to quickly learn new business processes, data structures, and enterprise applications.
Demonstrated exceptional attention to detail and ability to identify inconsistencies, anomalies, and potential data quality issues.
Ability to independently execute assigned work while exercising sound judgment regarding when to proceed, when to seek clarification, and when to escalate risks or unresolved issues.
Ability to work effectively in evolving environments where requirements mature over time while maintaining adherence to documented processes.
PREFERRED QUALIFICATIONS
Certification in data management or related fields.
Experience with ERP systems such as PeopleSoft, SAP, Oracle Fusion, or Microsoft Dynamics.
Familiarity with defect tracking systems and best practices.
Accounting experience a plus.