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 clear 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.
· Strong 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
· Strong 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.