About Why Hiring
At Why Hiring, we connect talented professionals with meaningful career opportunities across Canada and internationally. Our mission is to simplify the job search process while helping individuals build long-term careers aligned with their skills, goals, and evolving industry demands. We operate in a fast-paced, innovation-driven environment where data and technology play a central role in shaping business strategy and decision-making.
About the Role
We are seeking a detail-oriented and analytical individual with a passion for working with data. In this role, you will collaborate with cross-functional teams to uncover insights, support data initiatives, and contribute to strategic business decisions through data-driven analysis.
Key Responsibilities
Analyse large and complex datasets to identify trends, patterns, and actionable insights
Support the development of predictive models and analytical solutions
Contribute to AI and machine learning initiatives
Perform exploratory data analysis to support business and operational strategies
Assist in building and maintaining data pipelines and workflows
Collaborate with analysts, engineers, and stakeholders across teams
Automate repetitive tasks using scripting and data tools
Improve data quality, accessibility, and structure
Apply statistical methods and experimentation techniques to evaluate performance
Identify inconsistencies and optimisation opportunities within datasets
Support the continuous improvement of internal data systems and processes
Education
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Required Skills
Experience with Python, R, SQL, or similar programming languages
Knowledge of data visualisation tools such as Tableau or Power BI
Understanding of statistical analysis and modelling techniques
Familiarity with AI and machine learning concepts
Experience working with SQL and/or NoSQL databases
Exposure to cloud platforms or big data technologies is considered an asset
Strong communication skills with the ability to present technical insights clearly
Ability to work with both structured and unstructured data
Experience
0–2 years of relevant experience in data science, analytics, or related fields.
Equal Opportunity Statement
Why Hiring is committed to fostering an inclusive and diverse workplace. We welcome applications from qualified candidates of all backgrounds, identities, and experiences. Employment decisions are made fairly and in accordance with applicable Canadian employment and human rights regulations.