Data Analyst, Product

Toronto, Ontario /
Data & Machine Learning /
Full time
Drop is a rewards platform on a mission to inspire people to live their optimal lives by empowering them financially. Through our personalized platform, Drop intelligently surfaces the right brands, at the right time, to make members’ everyday better than it was before. Powered by machine learning, Drop matches consumers with over 500+ partner brands to satisfy two main goals: to earn points from their purchases and redeem them for instant rewards.

Headquartered in Toronto, with an office in New York, Drop is backed by world-class investors including NEA, HOF, Royal Bank of Canada, Sierra Ventures, and White Star Capital. 

To learn more, visit: www.joindrop.com, or follow us at @joindrop on Instagram and Twitter.

Data Science at Drop

As a member of the Data Science team, you are primarily responsible for influencing the decisions made by stakeholders across the company in order to drive the most impactful problems and solutions.

You will have the opportunity to collaborate with the Product, Engineering, Data Engineering, Marketing, Partnerships, Finance teams and other Data Scientists. Your work will have a direct impact on Drop's growth trajectory and future success.

You can learn more about our Data & Engineering team's work by visiting Drop’s Engineering Blog.

As a Data Analyst you will

    • Work closely with the Product, Engineering, Design, and Data Engineering teams to ensure new product features are measured, tracked, and successfully rolled out
    • Design experiments that will help inform Product on the impact and future iterations recommended to improve the user experience of our app
    • Collaborate with stakeholders to clearly define problems we want to tackle, brainstorm solutions, conduct quantitative analysis, data mining, and present the findings to stakeholders in order to achieve our goals together
    • Be responsible for technical maintenance of our warehouse to ensure data quality for stakeholders across the company
    • Develop dashboards within our business intelligence tool and act as the data expert to promote a culture of data-informed decision making at Drop

What you bring to the table

    • You have at least 1 year of industry experience in data science
    • You have experience working with SQL to develop complex queries within large data sets
    • You have experience in designing experiments and coming up with scientifically sound recommendations
    • You have strong analytical and problem-solving skills; you are able to transform data into actionable product and business insights
    • You have experience with data infrastructure, optimizing data pipelines, and events tracking
    • You have experience querying and transforming structured and semi-structured data sets
    • You have experience collaborating with various stakeholders to align on project requirements and outcomes
    • You have strong communication skills, with the ability to gather requirements from stakeholders, translate them into an analytical problem and share results clearly and concisely
    • You are passionate about building the next generation loyalty product to make life more rewarding

Bonus points if

    • Experience with Looker, Redshift, Postgres, Athena, Airflow, Python or R
    • Experience with product and business analytics
    • Experience with financial, loyalty, or rewards systems
    • Experience at a consumer tech start-up is a bonus. Drop welcomes people from all backgrounds and recognizes the value of diversity
    • You have a degree in Statistics, Math, Computer Science, Engineering or related fields

Benefits

    • Lifestyle Spending Accounts and Health Spending Accounts + drug, dental, travel, and group insurance coverage
    • Unlimited time off
    • Parental leave benefits
    • Stock options
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At Drop, we're committed to providing an enjoyable and meaningful environment for every member of our team. We operate under a flat structure with minimal hierarchy where everyone’s opinion is valued equally. We are looking for team members with an entrepreneurial mindset who will thrive in a fast-paced and rewarding environment.


Drop Technologies, Inc. is proud to be a diverse and equal opportunity employer and as such does not discriminate on the basis of race, colour, religion, sex, national origins, age, sexual orientation, disability or any other characteristic protected by applicable laws. Selection decisions are solely based on job-related factors.