Associate Manager, Changeover Data & Analytics
Listed on 2026-06-20
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineering
Location: Greater Toronto Area, ON (Remote, with occasional in-person collaboration sessions)
Duration: 18 month contract-to-permanent
Background Check Requirement: Criminal background is required
Compensation: $75,000 - $88,000 CAD annually and equivalent hourly rate
About the OpportunityJoin a high-impact modernization initiative within a large, nationally recognized retail organization. This is an opportunity to take ownership of a critical business function that supports large-scale operational transitions across a national network, while helping transform legacy processes that have remained largely unchanged for decades.
Reporting into a team responsible for operational capabilities, training, process improvement, and modernization, you will play a pivotal role in building the data foundation that enables smarter decision-making, improved efficiency, and enhanced stakeholder experiences. Working alongside business leaders, consultants, and operational experts, you will translate complex data into meaningful stories that drive change and influence strategic decisions.
What’s In It for YouA rare opportunity to build something from the ground up and leave a lasting impact on a business-critical function. Significant autonomy to identify opportunities, recommend solutions, and shape modernization efforts. Exposure to enterprise-wide transformation initiatives, including automation, analytics, process improvement, and emerging AI capabilities. You’ll join a collaborative team environment that values curiosity, innovation, and continuous improvement. This is an opportunity to work directly with senior stakeholders and influence meaningful operational change.
YourResponsibilities
- Build and improve models, data mining techniques, and explore opportunities to integrate AI and machine learning solutions to improve the operational processes behind the changeover team.
- Review and support current key tools used by the changeover team and Dealers/stores to, enhance usability.
- Develop reporting dashboards & reports to translate complex data into actionable insights across the team and dealer network, with an openness to leveraging AI-powered analytics tools.
- Partner with business stakeholders to ingest and utilize new data sources as they become available, to create usable datasets to provide ad hoc business reporting and analysis as requested.
- Work closely with stakeholders to understand business problems, developing data-driven and AI-enhanced solutions to overcome these problems and add tangible business value. Query, extract and transform raw data from multiple data sources to build a data pipeline, conduct key insight and in-depth analysis of changeover specific data to recommend or prove solutions.
- Develop and improve key reporting tools using KNIME, MS Excel and BI Platforms.
- Be responsible for and improve the handling of data and act as Changeover data steward. Partner with IT, business stakeholders and Dealers to influence decision-making with data.
- 5+ years of progressive experience in analytics, business intelligence, data science, or a related field within a complex, multi-stakeholder environment.
- Advanced SQL expertise with strong proficiency in Python for data analysis, automation, and data transformation.
- Demonstrated experience building data models, ETL processes, reporting frameworks, and analytical solutions.
- Strong experience with BI platforms such as Power BI or Tableau, along with advanced Microsoft Excel capabilities.
- Experience working with cloud platforms and data warehousing technologies such as Azure, AWS, GCP, Snowflake, Cloudera, or similar solutions.
- Exposure to automation tools such as KNIME, Power Automate, Power Apps, or VBA is considered an asset.
- Exceptional communication and storytelling skills with the ability to explain the “so what” behind the data and influence business decisions.
All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2
SLGBTQIA+ communities.
If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.
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