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.

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 Solutions 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 creative visualization using business intelligence tools. What You’ll Be Doing The Senior Data Analyst plays a pivotal role in driving data-informed decisions across our organization. Operating at the intersection of business strategy and data expertise, this hands-on role brings clarity to complex problems and empowers teams with actionable insights:

Business Data Consultation (35%)

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

Research, identify and then collect / extract the external data sets required for the use case. Creativity, thinking outside of the box, and resourcefulness is required to find new and relevant data sources to meet business requirements

Exhibit strong attention to detail while working with large datasets to ensure accuracy, completeness and high-quality standards





Translate technical findings into clear recommendations for non-technical stakeholders, ensuring alignment with business use cases

Data Processing and Engineering Support (30%)

Partner closely with data engineers and data scientists to ensure data pipelines and models align with organizational goal

Diagnose and enhance data quality across diverse sources

Recommend ways to integrate disparate data sources into a usable data model to meet business requirements

Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools

Data Analytics and Visualization (35%)

Implement segmentation and categorization techniques to build dynamic solutions tailored to use case

Demonstrate curiosity by exploring datasets, conducting exploratory data analysis to uncover hidden trends, outliers, anomalies, and identify insights that might not be obvious

Provide detailed analysis of customer behavior, market trends, and competitive landscape to support product, sales and marketing strategies

Build advanced dashboards and visualizations that turn data into compelling narratives

About You

What will you need to be successful?

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 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 5 years of hands-on experience as a Data Analyst or Senior 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 $110,000 - $132,000 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!

📌 Senior Data Analyst (Toronto)
🏢 Teranet
📍 Toronto