Job Description

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 Manager, Data Insights & Analytics, the Senior Analyst Engineer will be responsible for data analysis, business intelligence, and data storytelling to drive strategic decision-making across the organization. You will take ownership of complex analytical projects, collaborate cross-functionally, and deliver actionable insights that support business growth and efficiency.


You will work closely with cross-functional teams including data scientists, analysts, and software engineers to deliver reliable and high-quality data solutions.

Key Responsibilities

------------------------

Analyze large and complex datasets to extract meaningful insights and trends. Develop and maintain dashboards and reports using tools such as Databricks Dashboards, Power BI, Tableau, or Looker. Collaborate with cross-functional teams (e.g., marketing, product, finance, operations) to identify key metrics and analytics needs. Translate business problems into data questions; design and execute appropriate analyses. 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. 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. Mentor junior analysts and contribute to the development of best practices in analytics methodologies and tools. Develop and maintain robust data models and transformations using dbt (Data Build Tool) or similar tools. Collaborate with stakeholders to understand data needs and provide clean, structured data for analytics and reporting Implement data quality, validation, and governance practices to ensure trust in data dashboards. Troubleshoot and resolve reporting issues, identifying root causes of system performance bottlenecks.

What You Bring

------------------

Minimum 5 years of professional experience in data analysis, business intelligence, or analytics. Proficiency in SQL and experience working with large relational databases. Strong skills in data visualization tools such as Power BI, Tableau or with Databricks. Experience with Python, R, or similar analytics tools is a plus. 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. Proficient in Python for data manipulation, scripting, and automation. Experience working with structured and semi-structured data (e.g., JSON, Parquet, Avro) Excellent problem-solving, communication, and collaboration skills 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

----------------------------

Experience in a fast-paced, data-driven environment such as tech, e-commerce, finance, or consulting. 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.

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.


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.