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Hybrid Manager, Data Analytics
Super.com · Canada / United States, Canadá · Hybrid
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Patrocinado por CareerFoundryAbout Super.com
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 role
We are looking for a Data Analytics Manager to join our team. In this role, your time will be split 40%/60% between individual contributor (IC) and people management obligations.
IC Component
You will own the business relationship and analytics throughput of our Fintech vertical, dealing with data about our financial products, membership program and transactional user behavior. We are looking for someone with 3 or more years of experience as an Analytics or Data Science individual contributor who can autonomously address problems and share actionable recommendations that help grow our Fintech business. The ideal candidate has a strong understanding of experimentation, trend analysis, and causal inference. You should be highly knowledgeable in SQL and Python, comfortable completing peer reviews, and familiar with our techstack or similar tools & services: dbt, Secoda, Looker, Amplitude, Jupyter.
People Management Component
The Data Analytics Manager will guide an experienced and knowledgeable team of data analysts, and one data scientist. This team supports the Super App vertical (covering engagement, acquisition, and retention topics) and the Operations team (reporting and deriving insights on agent and customer support data). You will provide technical mentorship, managerial support in the form of time-off requests and career development planning, and strategic guidance to your team. Our data science career path is new; you will also have a hand in establishing best practices and selecting the appropriate toolset for our new scientists. Ideally, you have previously worked on-the-job in a management role.
