About the RoleWe are seeking a Senior Data Analyst to join our Commercial Solutions Product Management team, where data and analytics play a key role in shaping product strategy and client solutions. While part of Product Management, this is a hands-on data and analytics role focused on delivering high-quality analysis and data-driven solutions.
This role combines data analysis, business & product analysis, and client-focused solution delivery. You will work across Product, Sales, Technology, and clients to understand problems, shape the right approach, and deliver actionable outputs. You will operate as a thought partner, helping define problems, clarify requirements, and translate them into effective data solutions, while owning delivery end-to-end.
A critical part of this role is protecting and strengthening our core data offerings. This includes ownership of recurring and ad hoc data deliverables, ensuring consistent quality, reliability, and continuous improvement. You will also contribute to revenue growth by supporting custom data solutions, enabling product initiatives, and providing analytical input into new data-driven offerings.
What You'll Be DoingThis role focuses on analysis, data delivery, mentorship, and stakeholder collaboration across both ongoing operations and new initiatives. You will...
- Analyze data to generate insights that support product, client, and business decisions
- Translate business needs into analytical approaches (requirements, use cases, impacts)
- Design and deliver data solutions (queries, datasets, reports - recurring and ad hoc)
- Own outputs end-to-end, ensuring accuracy, quality, and usability
- Maintain and improve recurring data deliverables, protecting core revenue streams
- Partner with Product and Sales on custom data solutions, business cases, and new offerings
- Support research and analysis that informs product strategy and market insights
- Collaborate across Product, Sales, Technology, and clients to align on priorities and outcomes
- Communicate insights clearly through presentations, dashboards, and reports
- Improve and optimize workflows using modern tools, automation, and AI-assisted approaches
- Provide ongoing guidance, mentorship, and quality oversight to junior team members, helping elevate team output and consistency
About YouYou are an experienced analyst who brings together strong technical skills, sound business judgment, and clear communication.
Technical Qualifications:- Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering)
- 5+ years of experience in data, analytics, or business/data roles
- Experience working with both business and technical stakeholders
- Strong proficiency in SQL, Python, and Excel is required
- Experience with visualization tools (Tableau, Power BI)
- Experience working with large datasets and data modelling
- Familiarity with modern data platforms and tools
- Experience using automation or AI-assisted tools to improve workflows, efficiency, and output quality
- Understanding of real estate and mortgage lending data, land registration concepts, and property-related datasets is considered an asset.
- Knowledge of GIS concepts and experience using spatial analysis tools such as ArcGIS is considered an asset
Core Capabilities:- Strong analytical thinking across data, business, and product problems
- Ability to break down problems, gather requirements, and assess impacts
- Hands-on experience delivering end-to-end data solutions
- Clear communication of insights and recommendations
- Ability to manage priorities and deliver high-quality work independently
- Strong problem-solving and critical thinking, with a solution-oriented mindset
- Demonstrates ownership, accountability, and initiative in driving outcomes
- A natural inclination to mentor and support others, taking responsibility for team quality and development without needing direction
- Curiosity and willingness to explore and adopt new tools and approaches, including AI-assisted capabilities.
What Success Looks Like- You bring clarity and structure to complex problems
- You ask the right questions and help refine requirements
- You deliver high-quality, reliable outputs that are clear, accurate, and ready for use
- You maintain momentum and alignment across stakeholders
- You translate data into clear, actionable insights
- You build trust with both internal teams and clients
- You take ownership of recurring and ad hoc data deliverables, ensuring consistency and continuous improvement
- You actively support and mentor junior team members, helping raise the quality and consistency of team outputs
- You are proactive and self-directed, taking initiative to move work forward without needing close guidance or constant follow-up
- You are comfortable taking ownership of problems and moving them forward, even when there isn't a clearly defined path and the work involves ambiguity
Let's Talk PayWe believe in being upfront about pay and helping you make informed decisions about your career. The annual pay range for this role is
$106,040 - $114,400 CAD, inclusive of base salary and target incentive pay. We understand that great talent comes in many forms, each with unique skills, experience, and potential. Your salary will be tailored to reflect the experience you bring and the impact you're ready to have on this role.
At Teranet, we also know that compensation extends far beyond a pay cheque. Along with your cash compensation, we offer a comprehensive package which includes the following:
- 100% Employer Paid Health Benefit Plan
- Employer Matching Retirement Savings Plan
- Paid Vacation, Floater Days & Sick Leaves
- Maternity, Parental and/or Adoption Leave Top-Up Programs
- Corporate Discounts & GoodLife Group Rate Membership
- Employee Assistance Program - for you and your loved ones!
Our Human Approach to HiringAt Teranet, we use smart technology to make hiring faster and more efficient. Artificial Intelligence (AI) tools help us review applications and identify strong matches-but the real decisions? Those are made by our awesome people.
Every interaction you'll have, and every decision we make, is led by humans. AI may support us, but it's human connection that drives every hire.
