Global Data Quality Analyst

3M

21h • Onsite

About The Position

As a Global Sales Compensation Data Quality Analyst for Human Resources, you will help ensure high-quality data throughout sales compensation planning and payout processes. The role optimizes end-to-end data validation for planning cycles and establishes standard processes for data flowing through Varicent, 3M’s Sales Performance Management platform. It collaborates with sales operations and finance, supports system and organizational changes, and improves data quality processes by identifying recurring issues and recommending enhancements.

The role follows an on-site working model, requiring at least four days per week at a designated 3M office in Maplewood, Minnesota; London, Ontario; Wroclaw, Poland; or Bangalore, India. It has a global scope, with travel as needed. Relocation assistance is not authorized.

Requirements

• Bachelor's degree in Business Administration, Information Systems, Finance, Data Analytics, or a related field.
• 2–4 years of experience in data quality, information technology, sales operations, incentive compensation administration, or a related business process role.
• Working experience with Varicent or similar sales performance management platforms, focused on plan configuration, data validation, and reporting workflows.
• Strong understanding of sales planning processes, including territory design, quota setting, crediting rules, and incentive plan structures.
• Familiarity with data integration concepts and ability to trace data through extraction, transformation, and loading stages.
• Proficiency in querying and analyzing data using Excel or similar tools to support validation and reconciliation activities.

Nice To Haves

• Excellent attention to detail and a structured, process-driven approach to problem-solving.
• Strong communication and stakeholder management skills, with the ability to bridge business and technical teams effectively.

Responsibilities

• Optimize end-to-end data validation processes for sales compensation planning cycles and establish standard processes for data flowing through Varicent.
• Review and reconcile incentive compensation data throughout the payout lifecycle, identifying discrepancies between plan configurations, attainment data, and calculated earnings.
• Define and enforce business rules for data flows between source systems, staging environments, and Varicent.
• Collaborate with sales operations and finance teams to translate business requirements into data quality acceptance criteria for planning models and incentive structures.
• Investigate and resolve data discrepancies by tracing issues through the data lifecycle, from source extraction through transformation to final reporting outputs.
• Support change management during plan redesigns, organizational restructures, and system enhancements by validating data accuracy.
• Identify patterns in recurring data quality issues and recommend workflow or process enhancements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level