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About the Role
This role supports Remarketing analytics by maintaining dashboards and reports, improving data processes, and contributing to reporting, forecasting, and modelling enhancements. It is well-suited for an early-career analyst or recent graduate with strong quantitative skills and advanced Python proficiency, interested in applying data analytics to business challenges.
Responsibilities
- Analyze and fulfill recurring and ad hoc Remarketing data and pricing requests by extracting, cleaning, validating, and interpreting data from multiple sources.
- Use Python, SQL, and related tools to automate data preparation, conduct data quality checks, support pricing model inputs, and deliver accurate outputs.
- Support, maintain, and enhance Remarketing Tableau dashboards, recurring reports, pricing performance views, and supporting data pipelines.
- Monitor data quality and reporting performance, reconcile discrepancies, document reporting logic, and develop self-service analytical tools.
- Develop measurement frameworks and provide analytical support for experiments, program pilots, and process improvement initiatives.
- Apply appropriate statistical techniques, assist with feature development, calibration, back-testing, and performance trend reviews.
- Translate findings into practical recommendations that improve pricing accuracy, forecasting, reporting, and business outcomes.
- Analyze local, national, and broader used vehicle market trends, including supply, demand, depreciation, seasonality, and relevant economic factors.
- Identify patterns, risks, and opportunities to inform pricing adjustments, forecasting, and strategic recommendations.
- Diagnose issues affecting Remarketing data tools, dashboards, reports, pricing outputs, and model performance using SQL and Python.
- Investigate discrepancies, trace data lineage, identify root causes, and coordinate with partners on solutions.
- Analyze cross-functional Remarketing processes and recommend improvements for pricing accuracy, reporting consistency, transparency, automation, governance, and operational effectiveness.
Requirements
- Entry-level to 2 years of related experience, including internships, co-op placements, academic projects, portfolio work, or early-career experience in data analysis, business intelligence, analytics engineering, or data science.
- Practical experience using Python for data preparation, automation, analysis, forecasting, modelling, or visualization.
- Preferred experience developing dashboards, reports, or data visualizations using Tableau, Power BI, Python visualization libraries, or similar tools.
- Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related discipline.
- Strong academic or project experience in Python, analytics, statistics, machine learning, forecasting, data visualization, or related quantitative methods preferred.
- Ability to learn business context quickly, collaborate with stakeholders, and use data to support reporting, forecasting, modelling, and operational decision-making.
- Conceptual thinking and problem solving.
- Communication and teamwork skills with internal customers.
- Proficiency using MS Office (Word, Excel, PowerPoint).
- Ability and desire to learn and constantly improve.
- Deep working knowledge of Python, including common data and modelling libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, or similar tools.
- Preferred proficiency in Tableau for dashboard design, visual storytelling, self-service reporting, and stakeholder-facing performance views.
- Strong interest in modernizing analytics processes through automation, reusable code, improved data pipelines, forecasting, and scalable reporting solutions.
- Ability to clearly communicate insights and drive results.
- A strong bias towards action.
Skills
- Python
- SQL
- Excel
- Tableau
- MS Office (Word, Excel, PowerPoint)
- pandas
- NumPy
- scikit-learn
- matplotlib
- seaborn
Location
- Toronto
- Mississauga
Work Type
- Full-time
Experience Level
- Entry-level
- Early-career
Education Level
- Bachelor’s degree in a quantitative field
About the Company
- Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group, operating under the service brands Hyundai Motor Finance, Kia Finance, and Genesis Finance.
- HCCA provides indirect vehicle financing and leasing solutions to consumers and commercial customers through a network of over 450 Hyundai and Kia dealerships and 30 Genesis distributors nationwide.
- The company fosters a fast-paced, dynamic, energized, agile, and collaborative culture, aiming to create a connected, fun, positive, and rewarding workplace.
- Hyundai Capital has a global presence with offices in South Korea, the United States, China, the United Kingdom, Germany, and Brazil, adhering to global values of simplicity, collaboration, symmetry, and elements of nature.
Equal Opportunity
- Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.