Responsibilities Collecting, cleaning, and organizing large datasets from multiple internal and external sources Performing exploratory data analysis to identify trends, anomalies, and key drivers Ensuring data integrity, consistency, and documentation Assisting in the development, testing, and refinement of predictive models Applying statistical and machine learning techniques appropriate to the business problem Evaluating model performance and refining assumptions as needed Translating analytical findings into transparent insights that inform strategic decisions Developing dashboards, visualizations, and summary materials for non-technical audiences Supporting scenario analysis and forecasting exercises Working closely with strategic functions and leadership teams to understand business questions Clearly communicating methodology, assumptions, and findings Incorporating feedback and iterating on analyses Qualifications Working towards a degree or diploma in a data science, statistics, mathematics,
computer science and/or analytics-related field.
Solid analytical and problem-solving skills Exposure to machine learning techniques such as regression, classification, or clustering Experience with SQL and relational databases Experience working with large datasets Proficiency with analytical languages (such as Python or R) Familiarity with data visualization tools such as Power BI, Tableau, or Python visualization libraries Robust written and verbal communication skills Next Step: Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview The estimated hourly range for this role is $19.57- $28.69, based on your experience and qualifications.
Final compensation will be confirmed as part of a personalized offer.