The Senior Data Analyst will enhance products, conduct data analysis, and create reporting solutions, collaborating cross-functionally to drive data-informed decisions and promote a data-driven culture.
Senior Data AnalystWho We AreTeranet 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.caAbout the RoleThe 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:
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!
- 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
- 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
- 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
- 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
- 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
- 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
- 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!
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!
Top Skills
AWS
Azure
Excel
Hdfs
Python
Spark
SQL
Tableau
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