Data Analyst

Makeship

Makeship collaborates with influencers and brands to create and launch exclusive products through a unique community-powered platform. As a rapidly growing company, they offer a dynamic environment where the Data Analyst plays a key role in shaping company decisions and processes. The company is notably recognized as one of Canada's fastest-growing startups and has been certified as a Great Place to Work.

In this role you can expect to have the responsibilities:

• Guide the A/B testing and experimentation practice, aiding in experiment design and result analysis.
• Measure and evaluate product and marketing impacts on user behavior and business outcomes.
• Conduct larger-scale data science initiatives such as predictive modeling and customer segmentation.
• Develop reports and presentations to convey findings to stakeholders across the organization.
• Identify opportunities to enhance testing processes, data quality, and reporting methods.

This role comes with the following benefits:

• Remote work within Canada.
• Health and dental benefits.
• Four weeks of paid vacation, plus a week during holidays.
• Monthly phone allowance.
• $400 home office setup allowance.
• Pregnancy and parental leave top-up program.
• Education Assistance Program.
• Employee referral program.

This role requires you to have:

• 3 years of experience in data analysis or business intelligence.
• Experience in designing and analyzing A/B tests.
• Proficiency in advanced statistical methodologies.
• Familiarity with BI tools like Tableau and Power BI.
• Excellent communication skills with diverse stakeholders.

You would benefit from having:

• Experience with cloud infrastructure such as AWS or Docker.
• Experience in building data pipelines and warehouses.
• Familiarity with eCommerce data or platforms like Shopify or Google Analytics.
• Background working in a startup environment.

Makeship is committed to diversity and inclusion, fostering a culture that values all backgrounds and identities. They actively seek new team members who respect and contribute to this inclusive environment.