Sales & Marketing, Data Scientist at Nissan in Mississauga, ON

  • Company: Nissan
  • Location: Mississauga, Ontario - Canada
  • Salary: $78K – $96K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-13

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Job description

Location: Mississauga, Ontario Job Schedule: Full-time, Hybrid 4 days onsite, 1 day Remote) Education Requirement: University degree in Data Science or an equivalent Sponsorship: No Come Drive Innovation with Us. We are currently looking for a Sales & Marketing, Data Scientist to join our team in Mississauga, ON . POSITION SUMMARY With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting. From the sleek design of our vehicles to the unique opportunities we offer around the globe, Nissan exemplifies ingenuity in everything we do. Our people are what drive the business forward. This role is responsible for supporting Sales and Marketing through reporting, data analysis, programming and automation initiatives that improve business performance and operational efficiency. The successful candidate will leverage data to generate actionable insights, develop automated solutions and support the team's continued evolution in reporting, analytics and AI-enabled capabilities. This role offers extensive exposure across Sales, Marketing, Dealer Operations, Analytics and IS/IT, providing the opportunity to contribute to high-impact initiatives while developing a broad understanding of the business. The successful candidate will play an important role in helping the team advance its use of data, automation and AI while supporting key business priorities. A Day in the Life: Job Functions Include but Are Not Limited To: Analyze Sales and Marketing performance to identify trends, risks, opportunities and underlying business drivers. Extract, clean, combine, transform and validate data from multiple internal and external sources to support accurate analysis and reporting. Use SQL and/or Python to analyze data, develop repeatable programs and automate manual or repetitive reporting and business processes. Develop and maintain dashboards, reports and data visualization solutions using Power BI and other applicable tools. Establish clear KPI definitions, reporting logic and data-quality controls to ensure information is accurate, consistent and reliable. Translate complex data and analytical results into clear business insights, recommendations and executive-ready presentations. Proactively identify opportunities to improve reporting, data quality, system efficiency and existing business processes. Design and implement automated solutions that improve processing speed, accuracy, controls, auditability and team capacity. Work cross-functionally with Sales, Marketing, Dealer Operations, Analytics and IS/IT stakeholders to understand business needs, identify appropriate data sources and implement practical solutions. Investigate data discrepancies and reporting issues, determine root causes and recommend sustainable corrective actions. Help advance the team’s use of AI, data and digital tools through the development and implementation of practical business solutions. Support market and business intelligence activities, including performance analysis, recurring reporting, target tracking and the assessment of Sales and Marketing opportunities. Assist with the measurement and administration of Marketing Programs, dealer incentive programs and other Sales and Marketing initiatives. Prepare, track and communicate monthly and quarterly performance results, targets and reward metrics for the field team and/or dealers, as required. Support the team with reporting, dashboard development, data analysis, automation initiatives, ad hoc business requests and priority projects. Maintain clear documentation of data sources, calculations, programming logic, business rules and automated processes. Share knowledge and effective practices to strengthen the team’s reporting, programming, automation and data capabilities. Perform other related duties of which the above are representative. Who We’re Looking for: Minimum Qualifications: University degree in Data Science, Comp

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