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Added 1 hour ago
Revenue Manager
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Manage, coach, and develop the Revenue Analyst, providing day-to-day leadership, performance guidance, professional development, and support for departmental priorities.
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Added 1 hour ago
Senior Financial Analyst (PFT) (CUPE 78.26)
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Added 16 hours ago
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Added 16 hours ago
Financial Analyst (Consolidation)
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Added 20 hours ago
Marsh People and Investments - Investment Consulting Analyst Co-op - Toronto - Summer 2027
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Teranet Inc.

Senior Data Analyst

Toronto, ON, Canada

Pay: $106,040 to $114,400 CAD / year
Job type: Full-time
Apply by: Oct 22, 2026
Experience: 5+ years of experience in data, analytics, or business/data roles
Posting language: English
Posted: Sep 22, 2026

Apply About employer

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Original job description

Senior Data Analyst

Who We Are

Teranet is Canada’s leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property and data solutions, as well as practice management automation to thousands of customers in the real estate, financial services, government, utilities, and legal markets. Founded in 1991, Teranet operates the Electronic Registration System for the Province of Ontario and Teranet Manitoba is the service provider to the Province of Manitoba.

Connect. Grow. Thrive Together.

To learn more about who we are, visit our website: www.teranet.ca

About the Role

We 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 Doing

This 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 You

You 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 Pay

We 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 Hiring

At 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.

At Teranet, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation during the recruitment and selection process, please let us know and we will work with you to meet your needs.

Come As You Are. We Like You That Way!

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More about this job

Responsibilities

The Senior Data Analyst will design and deliver end-to-end data solutions while collaborating with product, sales, and technology teams to drive actionable insights. The role involves maintaining recurring data deliverables, mentoring junior team members, and supporting product strategy through advanced analytical approaches.

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess at least 5 years of experience in data or analytics roles. Proficiency in SQL, Python, and visualization tools like Tableau or Power BI is required, along with strong business judgment and communication skills.

Skills

SQL
Python
Excel
Tableau
Power BI
Data modeling
Data analysis
Business analysis
Product strategy
Spatial analysis
ArcGIS
Automation
Mentorship
Stakeholder collaboration
Problem solving
Communication

Benefits

Health benefit plan
Retirement savings plan
Paid vacation
Floater days
Sick leaves
Maternity leave
Parental leave
Adoption leave
Corporate discounts
GoodLife group rate membership
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
SQL
Python
Excel
Tableau
Power BI
Data Modeling
GIS
ArcGIS
Automation
Artificial Intelligence
Real Estate
Mortgage Lending
Product Management
Data Analytics
Business Intelligence
Statistics
Mathematics
Computer Science
Engineering
Data Solutions
Stakeholder Management
Reporting
Dashboards
Market Insights

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