Data Analyst

About Northlake Financial

Northlake Financial is expanding its team and is looking for a dedicated professional who enjoys working collaboratively in a fast-moving, innovative environment. The organization plays an active role in transforming the Canadian automotive finance sector by offering a wide range of rates and services for dealers, with a focus on acquiring and servicing prime and subprime automotive financing contracts.

Role Purpose

The Data Analyst will gather, examine, and interpret data to guide both strategic and day-to-day decisions across the business. The position calls for strong analytical thinking and the ability to use data, statistical approaches, and technology to uncover patterns, strengthen business outcomes, and deliver practical insights to leadership.

Work Location

This role is based in Barrie, Ontario, Canada, and is strictly on-site. Remote or hybrid work is not offered.

Key Responsibilities

• Use database tools to mine and analyze information.
• Create, enhance, and support data models, dashboards, and reporting outputs.
• Review data, then share trends, findings, and recommendations with management.
• Prepare and circulate daily, weekly, monthly, and ad hoc reports for department leaders.
• Check data quality and help ensure reporting remains accurate and dependable.
• Track key performance indicators and spot opportunities to improve operations.
• Coordinate with external IT and technology service providers as needed.
• Contribute to strategic company initiatives and cross-functional work.
• Deliver reports and outputs within established timelines.
• Look for ongoing improvements in how data is collected, reported, and analyzed.
• Act in a way that reflects well on the company and follows internal policies and procedures.

Requirements

• Must be able to work on-site at the assigned company location.
• Strong ability to analyze problems and develop practical solutions.
• Excellent spoken and written communication skills.
• High attention to detail with a strong focus on accuracy.
• Ability to balance multiple priorities and perform well under deadlines.
• Well-developed organizational and time management skills.
• Comfortable working both independently and as part of a team.
• Committed to ongoing learning and professional growth.
• Customer-oriented mindset with a strong sense of accountability and professionalism.

Qualifications

A college diploma, university degree, or higher in Data Analytics, Computer Science, Statistics, Mathematics, Information Technology, Business Analytics, or a related discipline is required. The role also needs at least 2 years of experience in data analysis, reporting, or business intelligence. Strong Excel skills are essential, along with hands-on experience using databases, SQL, and visualization or reporting tools such as Power BI, Tableau, or similar platforms. Candidates should understand statistical analysis and data modeling techniques and be able to build dashboards, reports, and data-based recommendations for business users. Knowledge of data governance and data integrity practices will be considered an advantage.

Compensation and Benefits

The base salary starts at $45,000 per year. In addition, the company offers paid wellness days, a day off for your birthday, a comprehensive benefits package with health and dental coverage, an Employee Assistance Program for mental health and wellness support, and access to the Bonusly employee recognition and rewards platform.

Equal Opportunity and Accessibility

Northlake Financial states that it is an equal opportunity employer. Hiring decisions are made based on business needs, job requirements, and individual qualifications, without discrimination on grounds protected by applicable federal, provincial, or territorial human rights laws. The company also provides reasonable accommodation for applicants with disabilities during the hiring process in line with applicable accessibility legislation; candidates needing accommodation are encouraged to inform the hiring manager.

Recruitment Technology

The company may use artificial intelligence tools to help screen and evaluate applications. These tools are intended to support human judgment rather than replace it.

Legal Eligibility

Applicants must be legally allowed to work in Canada, and proof of work eligibility will be required at the time of hire.

Additional Information

The team is currently seeking one person for this position.

Relevant areas connected to the role include data analysis, SQL, Python, Excel, data visualization, Power BI or Tableau, credit risk analysis, portfolio performance analysis, delinquency and charge-off analysis, loan data, forecasting, data-driven decision making, loan origination systems, ETL, data pipelines, KPI reporting, regulatory compliance, and fraud detection.