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Global Data Quality Analyst

  • Canada

Full-time

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Job details

Job type
Full-time
Experience
2-4 years of experience in data quality, information technology, sales operations, incentive compensation administration, or a related business process role.
Posting language
English
Posted

Original job description

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.

Job Description

Job Description

The Impact You’ll Make in this Role


As a Global Sales Compensation Data Quality Analyst for Human Resources, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world.

Here, you will make an impact by:

  • Optimizing end-to-end data validation processes for sales compensation planning cycles and driving standard processes to ensure the highest quality of data flowing through Varicent, our Sales Performance Management platform.
  • Reviewing and reconciling incentive compensation data throughout the payout lifecycle, identifying discrepancies between plan configurations, attainment data, and calculated earnings.
  • Defining and enforcing business rules governing how data flows between source systems, staging environments, and the Varicent platform to maintain consistency at every handoff.
  • Collaborating with sales operations and finance teams to translate business requirements into clear data quality acceptance criteria for planning models and incentive structures.
  • Investigating and resolving data discrepancies by tracing issues through the full data lifecycle, from source extraction through transformation to final reporting outputs.
  • Supporting change management efforts during plan redesigns, organizational restructures, and system enhancements by validating data accuracy throughout the transition.
  • Driving continuous improvement of data quality processes by identifying patterns in recurring issues and recommending workflow or process enhancements.

Your Skills and Expertise 

To set you up for success in this role from day one, 3M is looking for candidates who meet following minimum 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, with a focus 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 the ability to trace data through extraction, transformation, and loading stages.
  • Proficiency in querying and analyzing data using excel or other similar tools to support validation and reconciliation activities.

Additional preferred qualifications that could help you succeed even further in this role include:

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

Job specifics:

  • This role follows an on-site working model, requiring the employee to work at least four days per week from a designated 3M office location in Maplewood, Minnesota; London, Ontario; Wroclaw, Poland; or Bangalore, India.
  • Position is Global in scope
  • Travel expectations as needed
  • Relocation Assistance: Is Not Authorized

=== PLEASE APPLY UPLOADING THE ENGLISH VERSION OF YOUR RESUME ===


Target Job Grade: [11] Please note that the Job Grade provided indicates the target 3M Global Job Grade range and may vary depending on the skills and competencies of the candidate and local compensation guidelines. 

Application Process:

Please inform your current supervisor of your application. Typically, employees will need to have completed two years in their current role before being able to apply for an internal vacancy. More information in the Global Recruitment Standard. If you have any questions regarding the content of the position, please contact the Hiring Manager. If you have any questions regarding the recruiting process, please contact the Recruiter.

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M.

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More about this job

Responsibilities

The Global Data Quality Analyst will optimize end-to-end data validation processes for sales compensation planning and ensure data consistency within the Varicent platform. They will also collaborate with finance and sales operations teams to resolve data discrepancies and support organizational transitions.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess 2-4 years of experience in data quality, sales operations, or incentive compensation. Proficiency with Varicent or similar sales performance management platforms and strong data analysis skills are required.

Skills

  • Data quality
  • Sales compensation
  • Varicent
  • Data validation
  • Incentive compensation
  • Sales operations
  • Data integration
  • Business rules
  • Reporting
  • Data reconciliation
  • Stakeholder management
  • Excel
  • Process improvement
  • Change management
  • Data analysis

Visa sponsorship

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Categories

  • Data & Analytics
  • Human Resources
  • Sales
  • Finance & Accounting
  • Technology

Keywords

  • Data Quality
  • Sales Compensation
  • Varicent
  • Human Resources
  • Sales Performance Management
  • Data Validation
  • Incentive Compensation
  • Business Rules
  • Data Integration
  • Sales Operations
  • Finance
  • Reporting
  • Data Lifecycle
  • Change Management
  • Process Improvement
  • Excel
  • Data Analytics
  • Information Systems
  • Territory Design
  • Quota Setting

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