Data Analyst (Remote!)
Chicago
Super.com
Through rich rewards and everyday savings, Super helps you access more of what you want at better prices, escape overspending, and level up life.We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About this team
As a data analyst you will be reporting into a centralized Analytics & Data Science team designed to foster the data driven culture at Super. The multi-disciplinary team you will be embedded within is the driving force behind converting prospects into members of our platform and ensuring their continued engagement with our innovative fintech solutions. Our team operates at the intersection of data-driven solution-making and novel financial product development. We are devoted to rapidly testing new product ideas while enhancing acquisition channels and testing marketing strategies to attract high-intent, quality members.
About this role
We are seeking a qualified Data Analyst to embed within our fintech cross-functional team, focusing on card product acquisitions and customer engagement. In this critical role, you will dive into elaborate datasets related to financial transactions, customer behavior, and card usage patterns. Your primary accountability will be to answer strategic business questions, leverage this data to generate insightful analyses and drive our acquisition strategies by fostering robust engagement.
A significant aspect of your role will involve ensuring the integrity and accuracy of our data. You will conduct detailed investigations into our data quality, querying data at a granular level to verify the effectiveness of our tracking and analytics systems. With your strong analytical acquirements and a data-driven mindset, you will excel in quantitative analysis, using your expertise to help our team structure, visualize, and interpret large datasets.
This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses to debug, QA, and refine our data processes. You will collaborate closely with key stakeholders, including the PM of Fintech, Acquisitions and Engagement, to address some of the most pressing and influential questions facing our business.
Your work will be pivotal in shaping our strategies for customer acquisitions and engagement, and you will gain exposure to a wealth of data that will inform and guide our outcomes in the fast-evolving fintech landscape.
Responsibilites
- Data-driven Culture: As an ambassador for our data-driven culture, you will leverage elaborate datasets to generate actionable insights that influence product strategy and drive results. Specifically, you will analyze customer behaviors and trends related to our card product acquisitions and engagement, using data to enhance decision making, marketing campaigns, customer outreach efforts and more.
- Investigate Trends & Anomalies: With a keen eye for detail, you will investigate and analyze trends and anomalies in card product performance. This includes assisting debugging efforts and drilling down into data to uncover the root causes of changes in customer acquisition rates and engagement levels. Your insights will help in fine-tuning our strategies and improving product offerings.
- Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders
- Business Awareness: you will assess the why behind our data-driven insights, and how the data both explains and impacts our business outcomes. This includes analyzing how different customer segments answer to our card offerings and identifying opportunities to enhance customer satisfaction and devotion.
Preferred Experience
- Familiarity with tools such as DBT, Amplitude, Snowflake, Looker & Git.
- Experience to independently collaborate with business stakeholders and create data models designed to address specific questions and uncover valuable business insights.
- Bachelors in STEM and an advanced degree in Analytics, Data Science or equivalent.
We've Got You Covered
- Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets
- We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms
- Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit
- We welcome new family additions with generous parental leave and a flexible return-to-work plan
- This is just scratching the surface– see our careers site for a more detailed overview of our perks & benefits
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Amplitude Data management Data quality dbt Excel FinTech Git Looker Snowflake STEM Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Parental leave Startup environment Unlimited paid time off Wellness
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