Data Analyst

Posted 4 Hours Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
70K-90K Annually
Junior
Information Technology • Software
The Role
Support data integration, quality, analysis, and visualization efforts. Collaborate with cross-functional teams, build dashboards and reports (Tableau/Excel), perform exploratory analysis, and support data engineering and modeling to deliver business insights and recommendations.
Summary Generated by Built In

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%)

  • 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 (40%)

  • Create interactive dashboards and reports that guide business decisions
  • 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
  • Use visualization techniques to communicate insights effectively and intuitively

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!

Skills Required

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering or related quantitative field
  • Minimum 2 years of work experience as a Data Analyst
  • Proficiency in SQL
  • Proficiency in Python
  • Proficiency in Excel
  • Advanced expertise in Tableau or other BI tools
  • Knowledge of Big Data technologies (HDFS, Spark)
  • Experience with cloud platforms (AWS and/or Azure)
  • Understanding of spatial data concepts and formats (GeoJSON, Shapefiles) and tools like ArcGIS
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The Company
HQ: Toronto, Ontario
805 Employees
Year Founded: 1991

What We Do

Teranet is Canada’s leader in the delivery and transformation of statutory registry services, with extensive expertise in land and commercial registries. Our unmatched registry expertise makes us the most authoritative source of data and market insight for the financial services, real estate, and government and utility sectors. Through our global partnership with Foster Moore, Teranet has expanded its registry solutions to include commercial-off-the-shelf (COTS) registry technology that delivers operational cost reductions, enhanced security and process improvements. Teranet is owned by OMERS Infrastructure, a leading global infrastructure investment manager and the infrastructure arm of the Ontario Municipal Employee Retirement System. As a pioneer in electronic registration systems and commerce, Teranet has received numerous awards for our technology platforms, expertise and our successful partnerships with the Provinces of Ontario and Manitoba. An employer of choice, we are proud of our inclusive and diverse corporate culture where all employees have the opportunity to connect, grow and thrive. - 2017-2024 Greater Toronto's Top 100 Employers - 2022 Finalist for Best Employer Branding and The Leadership Agency Award for HR Leader of the Year - 2021 Canadian Mortgage Awards Industry Service Provider of the Year - 2018 Esri Silver Partner & Special Achievement Award – Geographic Information System Implementation

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