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Operations Analyst

Job in Winnipeg, Manitoba, Canada
Listing for: Autodata Solutions Company
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 44850 - 48750 CAD Yearly CAD 44850.00 48750.00 YEAR

Job Description & How to Apply Below

Position: Incentive Operations Analyst
Job Title  Incentive Operations Analyst
Location  Remote | Canada
Reports to  Manager, Finance and Incentives

Employment Type

Full-time
Existing Vacancy Status  This is an existing vacancy
About the Role  As an Incentive Operations Analyst, you will research, analyze, validate, and maintain automotive incentive data that powers industry-leading products, insights, and customer solutions. You will serve as a subject matter expert on manufacturer incentive programs while ensuring the highest standards of accuracy, completeness, and timeliness. This role combines analytical expertise, operational excellence, customer focus, and emerging technologies. In addition to core data responsibilities, you will leverage artificial intelligence (AI), automation tools, and process improvement techniques to enhance efficiency, reduce manual effort, and continuously improve data quality and customer outcomes.

Success in this role requires curiosity, critical thinking, attention to detail, and a commitment to continuous improvement. You will combine human expertise with AI-enabled tools to deliver trusted, high-quality data that helps customers make better decisions.
Incentive Research & Data Management   Research, analyze, and interpret manufacturer incentive programs from web-based, digital, and proprietary sources.
Translate complex incentive programs into standardized data formats and business rules.
Maintain and update incentive data within internal systems while ensuring accuracy, completeness, and timeliness.
Monitor and validate incentive program changes to ensure data integrity across products and platforms.
Develop expertise in automotive incentives, program structures, and industry trends.
Support customer inquiries and internal questions related to incentive content and data quality.
Quality Assurance & Data Integrity   Perform quality control reviews and audits to identify and resolve discrepancies.
Investigate data issues, determine root causes, and implement corrective actions.
Ensure compliance with documented business rules, processes, and quality standards.
Monitor data quality trends and recommend improvements that enhance customer confidence and trust.
Maintain a strong commitment to accuracy, integrity, and accountability in all work.
AI, Automation & Innovation   Utilize AI-powered tools to support research, analysis, content summarization, and operational workflows.
Create and refine prompts that improve productivity, quality, and consistency.
Evaluate AI-generated outputs to ensure they meet business requirements and quality standards.
Identify opportunities to automate repetitive or manual activities using AI, workflow automation, and low-code solutions.
Participate in the design, testing, and implementation of AI-assisted processes and operational improvements.
Contribute to prompt libraries, automation documentation, and best practices that support scalable operations.
Stay informed on emerging technologies and recommend practical applications that improve team performance and customer outcomes.
Continuous Improvement & Operational Excellence   Identify opportunities to simplify workflows and improve team efficiency.
Use data and metrics to evaluate operational performance and recommend enhancements.
Document processes, procedures, business rules, and lessons learned.
Participate in special projects and strategic initiatives that support organizational goals.
Share knowledge, best practices, and innovative ideas with teammates and stakeholders.
Contribute to a culture of learning, collaboration, and continuous improvement.

Required Qualifications   Post-secondary education or an equivalent combination of education and experience.
Strong analytical, critical thinking, and problem-solving skills.
Excellent attention to detail and commitment to quality.
Strong written and verbal communication skills.
Ability to manage multiple priorities in a fast-paced environment.
Ability to work independently and collaboratively within a remote team environment.
Strong organizational and time-management skills.
Self-motivated with a passion for learning and continuous improvement.
Ability to adapt to changing priorities, technologies, and business needs.
Technical Skills   Proficiency in Microsoft Office applications, including Excel, Word, PowerPoint, Outlook, and Teams.
Experience using or willingness to learn AI-enabled productivity tools such as Microsoft Copilot and other generative AI solutions.
Ability to develop effective prompts and assess AI-generated…
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