Epicor
DataQualityAnalyst,Sr
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Quality Analyst, Sr at Epicor. Skills: Data Quality Analysis, SQL, Data Controls, Data Integrity. Analyze data integrity and data quality issues across source systems, primarily finance data. Use SQL and other data analysis tools to extract, validate, reconcile, and analyze large datasets”
Industry & Context.
Identify root causes and recommend corrective actions; Investigate data issues; Translate business needs into data quality solutions
What They're Looking For.
Must Have
SQL for data extraction, data analysis, data profiling, data validation, and issue resolution, Analyze data integrity and data quality issues across source systems, Design, build, and maintain inline data monitoring processes and data controls, Support data controls, data audits, governance activities, and data correction processes, Evaluate the impact of system, process, or transformation changes on data flow, data quality, and data integrity, Data analysis and data modeling skills, Advanced Excel skills for data analysis, validation, reconciliation, and reporting, Experience designing end-to-end solutions for data quality, data controls, process improvements, or business data validation needs
Nice to Have
T-SQL experience, Power BI or Tableau, Azure exposure
What You'll Do.
Analyze data integrity and data quality issues across source systems
primarily finance data
Use SQL and other data analysis tools to extract
and analyze large datasets
and maintain inline data monitoring processes and data controls to proactively identify data quality risks
Support data controls
governance activities
and data correction processes to improve overall data quality and integrity
Evaluate the impact of system
or transformation changes on data flow
Identify process inefficiencies and recommend scalable improvements to data quality processes and controls
How You'll Work.
Team & Collaboration
Partner closely with platform engineering teams to investigate data issues and support automated controls across business-critical systems; Collaborate with business stakeholders to understand data issues, document requirements, and translate business needs into data quality solutions; Provide technical guidance, mentoring, or leadership to junior data quality analysts or team members
Communication Scope
Translate business needs into data quality solutions; Document requirements
Full Job Description
**What You Will Be Doing** * Analyze data integrity and data quality issues across source systems, primarily finance data. * Use SQL and other data analysis tools to extract, validate, reconcile, and analyze large datasets. * Design, build, and maintain inline data monitoring processes and data controls to proactively identify data quality risks. * Support data controls, data audits, governance activities, and data correction processes to improve overall data quality and integrity. * Partner closely with platform engineering teams to investigate data issues and support automated controls across business-critical systems. * Evaluate the impact of system, process, or transformation changes on data flow, data quality, and data integrity. * Collaborate with business stakeholders to understand data issues, document requirements, and translate business needs into data quality solutions. * Identify process inefficiencies and recommend scalable improvements to data quality processes and controls. * Provide technical guidance, mentoring, or leadership to junior data quality analysts or team members. **What You Will Likely Bring** * Strong hands-on experience with **SQL** for data extraction, data analysis, data profiling, data validation, and issue investigation; **T-SQL experience is preferred but not required**. * Strong experience analyzing **data integrity and data quality issues** across source systems, with the ability to identify root causes and recommend corrective actions. * Proven experience designing, building, or maintaining **data controls, data audits, and inline data monitoring processes** to improve data quality and integrity. * Experience working on **medium to large-scale transformation projects** , especially those involving business processes, source systems, reporting flows, or data quality improvements. * Strong **data analysis and data modeling** skills, with the ability to work with complex datasets and understand relationships across systems. * Advan
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