Senior Data Analyst

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:  
About the Role
The Data & Analytics team within the Commercial 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 innovative 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…