Manager, Data Analytics
Job Summary
Job Description
Super.com seeks a Data Analytics Manager to split time (35%/65%) between individual contributor (IC) and people management tasks. The IC component involves owning the analytics for a business line (financial, earnings, or travel products), requiring strong SQL, Python, and experience with experimentation, trend analysis, and causal inference. The management component focuses on guiding a team of data analysts and scientists, providing mentorship, support, and strategic direction. The role necessitates strong communication, data visualization, presentation, and problem-solving skills, and working with tools like dbt, Secoda, Looker, Snowflake, and Amplitude.
Must have:
- 3+ years as Data Analyst/Scientist
- Expert SQL, proficient Python
- Experience managing people
- Data modeling & ETL knowledge
- Strong communication skills
Good to have:
- Experience with dbt, Secoda, Looker, Snowflake, Amplitude
- Causal inference knowledge
8 skills required
Job Details
About 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 35%/65% between individual contributor (IC) and people management obligations.
IC Component
You will own the business relationship and analytics throughout for one of our business lines, dealing with data about our financial, earnings or travel products fueled by the membership program and transactional user behaviour. 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 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, Snowflake and Amplitude.
People Management Component
The Data Analytics Manager will guide an experienced and knowledgeable team of data analysts & scientists. You will provide technical mentorship, managerial support in the form of time-off requests and career development planning, and strategic guidance to your team. Ideally, you have previously worked on-the-job in a management role.
What you’ll be working on:
- Analytical: you will be an ambassador for our data-driven and truth seeking culture, taking data and using it to answer business questions and drive strategy and results
- Team Management: you will embody our values of open, transparent and respectful, and motivate your team to grow their technical and business sense
- Visualizations: you will help explain our data in a way that makes sense, evaluating the need and delegating the development of automated dashboards and reports
- Presentations: you will present insightful findings and share data-driven recommendations that help us make informed decisions
- Hard Questions: you do not shy away from complexity; as such, you take the time to understand problems, their business implications, and provide solutions that meet the need
Who we’re looking for:
- 3+ years as a Data Analyst or Scientist.
- Previous working experience as a People Manager
- Expert level SQL and highly proficient with Python for data science
- Experience modelling and analyzing a high volume of relational and unstructured data
- Aligned with hyper-growth and fast-paced culture at Super.com
- Great communication across multiple teams and stakeholders, and able to steer multiple important priorities
- Bias to action to dive into the data to find a solution to business problems without direct guidance
- Enjoyment from working on a team of driven individuals with varying specialities (product, ops, data, engineering) to achieve a common goal
- Strong data modeling skills and ETL knowledge
- Confidence with peer coding reviews in Git and enjoyment from providing technical mentorship
- Strong curiosity and a keen interest in continued learning and teaching
- Interest in predominately working with remote peers
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, 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.
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