Super
Toronto
201-500 employees
Super is a technology company at the intersection of fintech and commerce that empowers users to spend less, save more, and build credit.
Prior Listings
Senior Data Analyst - Product
Senior Data Analyst - Product
This job is no longer open
Snapcommerce is a high growth company that sits at the intersection of mobile commerce and fintech. Our flagship product Snaptravel allows millions of users around the world to book their travel over messaging. We are currently in the scale-up phase of the company with plans to grow from ~100 employees to ~300+ employees as fast as possible while maintaining the competitive advantages and culture of being a startup
With a high-performing team of world class leaders, Snapcommerce thrives on tackling complex problems within AI, E-commerce, and Conversational Design to push the boundaries of the value we can add to our user’s lives!
At Snapcommerce, we pride ourselves on the performance-driven environment we’ve created for our team to prosper and excel. Our values are rooted in making data driven-decisions and risk-taking actions that add value to both the user and the company.
Please note that although this position at Snapcommerce is remote friendly, candidates must be located and authorized to work in the US/Canada as a precondition of employment. Snapcommerce does not sponsor applicants for work visas.
About the Role
We are looking for a Senior Data Analyst - Product with 3+ years of experience to join our growing Data & Analytics team! As a Senior Data Analyst at Snapcommerce, you will be responsible for using data to answer strategic questions and leverage your previous experience with product analytics to design, build and uncover insights that will drive business outcomes.
With a strong analytical and data-driven approach, you are an expert in quantitative analysis and will use your skills to help our team organize, visualize and understand large data sets. This is an exciting opportunity to take ownership in a role that allows you to support multiple business verticals as you build internal dashboards, run cohort, segmentation, LTV, retention, churn, RFM, reach, engagement and abandonment analyses, create regression models and draw strategic insights from product (funnel) and user data.
What you will be doing:
- Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making
- Data Management: you will access, clean and organize raw data in a way that makes sense for both you and the team
- Visualizations: you will help us to see and understand our data in a way that makes sense, creating automated dashboards and funnels for various internal teams
- Hard Questions: your product analytics and quantitative analysis experience will be an integral part of helping us to answer the toughest questions in our business, such as:
- What key insights can be drawn from our users and the way that they use our product?
- What is the best way to segment and track our users and data? What can we learn through cohort analyses, regression models, etc?
- What A/B tests, experiments and multivariate product tests can be used to explore new ideas, and how can they be effectively tracked, measured and monitored? When are the results statistically significant? When do we pull the plug?
- Leadership: you have the ability to own a solution and lead projects end to end, including leading junior analysts, developers and our business partners through requirements, designs, mock-up, development and test scenarios to fully deliver an outcome.
- Iterative Development: experience working with modern, cloud based data & analytics tools ranging from data visualization software, to cloud data warehousing.
About You
- You have at least 3 years of experience in a Data Analyst role, ideally from the eCommerce industry with a Product background.
- You excel at pulling, cleaning and manipulating large sets of complex data to turn them into stories that key stakeholders can understand
- You are an expert at writing SQL queries & doing data analysis with Python, and know your way around visualization tools (i.e. Domo, Amplitude, Tableau)
- You are naturally curious, and have a solid understanding of common statistical methods and their real-world applications
- Experience running multivariate product tests and growth experiments is a major plus!
- Have the ability to work independently with your business partners to deliver an outcome, or lead a team of talented engineers and analysts to design and build a solution.
We Believe in Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job is no longer open