CanCap Group Inc. is part of privately-owned Canadian national financial services company with multiple verticals across automotive, consumer, and merchant lending portfolios. We manage the entire lifecycle of the finance receivable from credit adjudication through to contract administration, customer service, default management and post charge-off recoveries. We are a company of innovators, we learn from each other, respect each other and create together. When it comes to our customers, partners, and each other, we are always motivated by doing the “right thing”. We are always looking to find the best people and the right methods that allow us to meet this goal and look to the future for growth.

What Your Day and Week Could Look Like

Reporting to the SVP, the Head of Analytics will be responsible for setting the analytics vision, driving data strategy and enabling data-informed decision-making with data storytelling to influence strategic initiatives across the organization. You will take ownership of complex analytical projects, collaborate cross-functionally and deliver actionable insights that support business growth and efficiencies.

You’ll lead a high-performing team of data analysts, senior analyst engineers and BI professionals to uncover insights that shape our business strategy and customer experience.

Key Responsibilities

• Develop and execute a comprehensive analytics strategy aligned with business goals.
• Act as a trusted advisor to executive leadership, providing data-driven insights to influence company strategy.
• Champion a data-driven culture across the organization.
• Build, manage and mentor a high-performing team of analysts engineers and data professionals.
• Define team structure, roles and career development plans.
• Collaborate with cross-functional teams (e.g., collections, sales, finance, operations) to identify key metrics and analytics needs.
• Translate business problems into data questions, design and execute appropriate analyses.
• Lead efforts to analyze business performance, customer behavior and market trends.
• Deliver actionable insights and predictive models to support collections, sales, operations and finance teams.
• Oversee the design and development of dashboards, KPIs and reporting tools.
• Provide strategic recommendations based on data-driven insights to senior stakeholders.
• Develop AI driven data insights and analytical capabilities leveraging in-house data platform and other SaaS solutions.
• Collaborate with engineering teams to ensure data quality, accessibility and integrity.
• Define and enforce standards for data governance, privacy and compliance.
• Support experimentation and A/B testing, interpreting results to guide product or campaign enhancements.
• Ensure data quality, integrity, and governance in all analysis and reporting efforts.

What You Bring

• 12+ years of experience in analytics or data science roles, including 4+ years in leadership positions.
• Proven track record of building and leading analytics functions in fast-paced, data-rich environments.
• Strong expertise in statistical analysis, data modeling and data visualization.
• Proficiency with modern analytics tools and programming languages (e.g., SQL, Python, R, Spark, Tableau, Power BI, Databricks dashboards, Superset).
• Experience working with large-scale datasets and cloud-based data platforms (e.g., AWS, GCP, Snowflake, Databricks).
• Exceptional communication and storytelling skills with the ability to influence senior stakeholders.
• Excellent analytical thinking with the ability to structure and solve complex problems.
• Strong communication and storytelling skills, able to translate data findings into actionable business insights.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Working knowledge with Google Cloud Platform, Databricks and Spark-based data processing.
• Experience working with ETL frameworks and transformation tools like Data Build Tool(dbt) etc.
• Knowledge of data governance and security best practices in cloud environments

Preferred Qualifications

• 5+ years of experience in a financial lending or similar industry.
• Experience in a fast-paced, data-driven environment such as SaaS, e-commerce, finance or banking.
• Familiarity with cloud-based data environments such as AWS, Azure or Google Cloud Platform.
• Knowledge of statistical techniques such as regression, clustering and predictive modeling.
• Familiarity with machine learning techniques and tools.
• MBA or advanced quantitative degree is a plus.

Nice to Have

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proficiency in performance tuning, large-scale data analysis and debugging skills.

What You Can Expect From Us

Our Employee Experience is aimed at supporting and inspiring our talented team through:

• A passionate team dedicated to supporting and empowering others.
• An environment where creative, innovative thinking is encouraged.
• Health and Dental Benefits.

Work Location & Remote Flexibility

• This role follows a hybrid model, requiring employees to work 50% in-office, with flexibility to work remotely or from the office on other days.
• The company has two office locations:
• Downtown Toronto (Church Street) – The tech team is primarily based here.
• Mississauga – Another office location, but less frequently used by the tech team.

Diversity and Inclusion

CanCap is an equal opportunity employer and values diversity. We are committed to building and evolving a team reflecting a variety of backgrounds, perspectives, and skills. To be considered for employment, you will need to successfully pass a criminal background check and validate your work experience.

Next Steps

Adding to our team is an important step in our business. We’ve taken time to be purposeful and thoughtful with this job posting, and we encourage you to do the same with your application. Help us understand how your experience aligns with this role and how you can contribute to our Databricks-driven data platform.