Data Analyst, Medical - Remote

Sales Analyst, Medical

Division: Medical Sales

Hours: 40 hours per week, Monday - Friday

Employment type: full-time permanent employment

Job location: Alberta, Saskatchewan, Manitoba, Ontario, or Quebec (remote opportunity)

A little about us

Hi, we’re Aurora Cannabis, and we’re so excited to meet you!

We’re a global cannabis company with operations across Europe and North and South America. We’re driven by our passion to help people improve their lives and have a diverse team who bring their best every day, so Aurora can be the cannabis provider of choice for patients and consumers.  We love our work, and we especially love our high quality, innovative brands that make up the Aurora family – from Aurora, Aurora Drift, San Rafael ’71, Greybeard and Whistler.

Our people combined with our collective passion for the industry is what makes Aurora a special place to work and defines what we call our “A-Team”. We are a high-performing team of cannabis experts, innovators, and champions, that work, learn and win together. We think BIG, act BOLD and execute with PURPOSE in all that we do, and will stop at nothing to cultivate the ultimate cannabis experience for our community.
 

Job summary

This role is crucial in providing reporting solutions, developing predictive models, and uncovering actionable insights, with a particular focus on identifying leading indicators for customer churn and retention. The position involves analyzing large datasets, collaborating with team members to interpret findings, and presenting recommendations for data-driven business strategies. Sound interesting? Here is a little more…

 As the Sales Analyst, Medical you will be responsible for:

• Develop a comprehensive understanding of cannabis consumers motivated by medical needs.
• Analyze large datasets using statistical analysis tools such as Python and R.
• Generate reports and visualizations with Excel and Power BI.
• Conduct cohort analysis and customer segmentation to understand patient behavior patterns.
• Perform churn analysis and develop predictive models for customer retention using machine learning techniques.
• Analyze patient feedback and sentiment data to identify areas for improvement.
• Collaborate with marketing team to analyze campaign effectiveness and optimize customer acquisition strategies.
• Collaborate with cross-functional teams to translate business questions into analytical frameworks.
• Present findings and recommendations to stakeholders, using data storytelling techniques to drive decision-making.
• Stay current with industry trends and emerging analytics technologies, recommending new tools or methodologies as appropriate.

You’re the ideal candidate if you have…

• Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Finance/Economics, Data Science, or a related discipline.
• 2+ years of experience in data analysis or a related role.
• Proven track record of using data analysis to drive business insights and decision-making.
• Experience working with large datasets and performing data cleaning, transformation, and analysis.
• Proficiency in data visualization tools, particularly Power BI and Excel.
• Familiarity with statistical analysis and programming languages like Python or R.
• Familiarity with predictive modeling techniques and machine learning algorithms.

Bonus points if you have…

• Intense curiosity in the pursuit of knowledge.
• Strong empathy with customers who have medical needs.
• Highly organized with an ability to prioritize in a fast-paced environment.
• Capable of critical and analytical thinking.
• Keen to identify patterns and how to translate the insights into actionable recommendations.
• Proficiency in Python and R for statistical analysis and data manipulation.

Why you’ll love working at Aurora

• Flexibility: you will enjoy a flexible work environment that is the perfect blend of work and fun! You will be empowered to achieve work-life balance with flexible hours, remote work options, meeting-free-Friday-afternoons and more!  

• Total Rewards: we will motivate you to go above and beyond with a competitive salary, professional development opportunities, company SWAG, team activities and modern technology. 

• Team: we are a diverse and global team of cannabis enthusiasts, energetic innovators, fitness gurus, caring parents, foodies and more, with a collective passion to nurture an inclusive environment that helps you grow and provide people better days with cannabis.

Next steps
Apply today by submitting your resume through our website. You can expect your application to be reviewed by our Talent Acquisition Team and we will contact you if we see a fit via email.

Think you’re the ideal candidate but you don’t meet all the requirements? Apply anyways. We would love to review your application to see if you’re the right fit or find you an alternative opportunity.  Not the role for you? Share this posting with your network while subscribing to our Talent Community to learn more about upcoming opportunities (hot tip: if you are an Aurora employee, take advantage of the employee referral program by sharing this posting with someone in your network! If they are the successful candidate, you may be eligible for a bonus!).  

Diversity and inclusion
At Aurora, we are proud to foster and celebrate a diverse community of professionals! We take pride in nurturing an inclusive culture that empowers our people to be their authentic selves, celebrate their differences and love where they work.

Our diverse community combined with our inclusive culture, is what sets us apart in the industry and equips our A-Team with superpowers – and this is why, we encourage all candidates to apply for job opportunities regardless of race, national origin, colour, religion, age, gender identity or expression, sexual orientation, marital and family status, disability, or any other identifying characteristic. If you require accommodation (including, but not limited to, an accessible interview site or alternate format of job posting) during the recruitment and selection process, please do not hesitate to let our team know!

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