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Toronto, Ontario, Canada
Hybrid
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
The Data & Analytics team within the IT line of business has an ambitious mandate, where we are accountable for leveraging Data & Analytics to deliver business value both internally as well as to external clients through the following:
Enhance existing or create new products and services with proprietary data assets and partnering with external data providers, through the application of data science
Design and deliver cutting-edge reporting solutions to bring data to life
Conduct advanced data analysis to generate business insights that drive strategic decision-making
Demonstrate thought leadership in the ecosystem in which we operate
Provide actionable recommendations to improve overall organizational efficiencies
In addition, this team will play an important role in evangelizing and educating the value of Data & Analytics to the rest of the organization, in support of cultivating a data-driven culture.
You will support these ambitious goals primarily through ensuring seamless data integration, maintaining high-quality data standards, collaborating with cross functional teams, and delivering comprehensive analyses and innovative visualization using business intelligence tools.
What You’ll Be Doing
The Data Analyst supports the team in the design, development, and implementation of data & analytics use cases through the following responsibilities:
Data Exploration (20%)
Collaborate across marketing, product, finance, partner solutions, data engineering and other teams to deeply understand business objectives
Translate business questions into technical data needs, ensuring alignment with project goals
Gather internal and external datasets creatively, ensuring relevance to business use cases
Exhibit strong attention to detail while working with large datasets to ensure accuracy, completeness and high-quality standards
Present insights clearly through reports and presentations tailored to diverse audiences
Data Processing and Engineering Support (40%)
Data Analytics and Visualization (40%)
About You
You are someone who:
Is keen to understand the business – Data analytics cannot be done in a vacuum – we need to be close to the business so that we understand what we are trying to solve for and what the data means
Tells stories from data – Data analytics is not data dump – it needs to be meaningful and intuitive to the end user in order to realize the inherent business value
Challenges the status quo – The state of business and the field of data analytics are constantly evolving, and we need to as well. Assumptions and old ways of doing things are open season, as long as you bring along workable and relevant solutions articulated in a professional manner. Proactively pursue and learn about new data sets, analytical tools and methodologies to solve problems in new and innovative ways.
Is good at problem solving – Someone who can “connect the dots”, and have a logical and methodical way to tackle new and complex problems
Takes pride in your work – Your work is diligent and thorough, and you are proud of your reputation for high-quality and reliable work
Is a quick study – The successful candidate must be curious, resourceful, and dig into the weeds to ask the right questions and figure things out independently
Is a good communicator – Someone who is polished and can communicate effectively with internal and external parties to ensure alignment on data analysis and reporting needs
Technical qualifications:
Bachelor’s degree in quantitative field: Statistics, Mathematics, Computer Science, Engineering
Minimum 2 years of work experience as a Data Analyst
Proficiency in SQL, Python and Excel
Advanced expertise in Tableau, or other BI tools
Knowledge of Big Data Technologies (HDFS, Spark, etc.) and Cloud platforms (AWS and/or Azure)
Understanding of spatial data concepts, including geospatial data formats (e.g., GeoJSON, Shapefiles), spatial analysis, and tools like ArcGIS
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 $70,000 - $90,000 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!