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Our Business Intelligence and Analytics department integrates data and develops modern reporting solutions, provides advanced analytics and data science support to all business units across Aurora to generate insights and foster innovation.


As the Manager, Analytics and Data Science, you will work very closely with the business stakeholders such as Marketing, Sales, Operations, Finance, Research and Science etc. You possess well-blended interpersonal skills and technical skills. You have proven ability in leading the data scientist/analyst team whose members are in multiple cities to perform data mining, statistical and predictive analytics.


You will have excellent familiarity of advanced analytics process including identifying the business needs, gathering data from multiple sources, and deliver results. You will lead data science initiatives including machine learning and artificial intelligence. You will purposefully develop partnerships with vendors and universities. You will champion the best practice in data science and develop the center of excellence in analytics at Aurora. You will be a key contributor who enables Aurora to make strategic decisions with insights.


We are looking for a highly effective team leader who keeps the team focused and motivated to deliver on time. Apply if you love analytics, are flexible and self-driven, can work under pressure, and desire to develop a strong team in a new and fast-growing international business.



  • Develop, and maintain strong relationships and work closely with stakeholders to ensure business needs are addressed. Lead the team to identify business objectives, gather requirements from stakeholders, and translate requirements into user stories.
  • Lead the team to develop dashboards, reports. Extract and merge data from multiple data sources. Perform data cleansing, transformation, exploration, analysis and visualization.
  • Lead the team to support day-to-day requests for data analysis such as decision support and KPI’s. Use advanced techniques, conduct in-depth analytics for strategic initiatives as directed by the management.
  • Work side-by-side with the business stakeholders, iterate the analytical work in an agile fashion to deliver insights.
  • Develop the best practices for advanced analytics and data science.
  • Develop partnerships with vendors and universities to collaboratively working on data science initiatives.
  • Establish center of excellence in analytics at Aurora. Provide leadership to ensure consistency across all analyst teams.
  • Work closely with the Business Intelligence team in the Enterprise Data Warehouse development and enhancement.
  • Work closely with the Data Governance team in developing and rolling out the data management programs.
  • Lead the team to manage multiple project simultaneously while exhibiting professionalism to ensure an incredible stakeholder experience.



  • A university degree or diploma in Computing Science, Statistics, Mathematics or similar disciplines plus 8+ years of work experience in Analytics.
  • 3+ years manager or team leader experience with people management skills.
  • Very strong experience in database systems including data warehouses and multi-dimensional analytic solutions. Very strong experience working with various data types.
  • Outstanding skills in Microsoft technologies including SQL Server, Power BI, Power Pivot and Azure environment. Excellent MS T-SQL skills to write complex queries.
  • Proficiency in Python or R.
  • Experience with Google Analytics, ArcGIS.
  • Strong Agile project experience with proven ability to prioritize and manage time.
  • Demonstrated success in people management and career progression.
  • Demonstrated success with strategic analytical projects, working with various stakeholders across the business areas.
  • Demonstrated ability to work under pressure in fast-pace organizations.


We would like to thank all applicants for their interest but only those selected for an interview will be contacted.


Aurora Cannabis Inc. is an Equal Opportunity Employer.



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