Senior Data Quality Analyst

Epicor

Data Quality Analyst analyzing finance data for integrity and quality. Collaborating with teams to support automated controls and governance activities.

Posted 7/8/2026full-timeMonterrey • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

Comprehensive health and wellness benefits designed to support your overall well-being.
Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Comprehensive support for international relocations and permanent residency processes.

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Hard Skills & Tools

SQLData AnalysisData ValidationData ProfilingData IntegrityData Quality ImprovementData MonitoringData ControlsData CorrectionData Reconciliation

Soft Skills

CollaborationMentoringProblem-SolvingCommunication