The Senior Analytics Engineer will manage data infrastructure for finance, ensuring data quality and availability while leading data projects and collaborating with stakeholders for reporting and analysis.
We started Super.com to help maximize lives–both the lives of our customers and the lives of our team – 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 the Role
We are looking for a Senior Analytics Engineer to join our growing Data & Analytics team! As a Sr. Analytics Engineer at Super.com, you will evolve our foundational data infrastructure to primarily support our finance department. You will own the analytics infrastructure for these products end-to-end -- from data ingestion, to reporting, to activation -- ensuring high data quality and availability for our data sets. You will work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures. As a senior member of the team, you’ll promote strong standards throughout the organization and help level-up team members through the adoption of software engineering best-practices.
What you’ll be working on:
- Champion a data-driven culture by shaping data to facilitate analysis, insight generation, and decision-making
- Ingest, clean, and organize raw data to ensure usability and accessibility for the team
- Lead data projects from ingestion to reporting, overseeing scope and reducing ambiguity
- Liaise between Business, Engineering, and Data to translate requirements into effective data capture and schema design
- Shape the data model at Super to advance analytics strategy and build organizational trust
- Collaborate with stakeholders to analyze existing processes and implement improved, automated workflows
What were looking for
- 3+ years of experience as an analytics engineer or full-stack data analyst
- Proven expertise in SQL, with an emphasis on writing performant, maintainable code
- Deep knowledge of data modeling and experience designing schemas (ideally using dbt)
- Strong understanding of data warehouses and the modern data stack
- Demonstrated track record of delivering projects and building datasets that drive key business outcomes
- Ability to self-serve by building ELT and reverse-ETL pipelines using off-the-shelf tools or lightweight DAGs in Airflow with Python
- Experience leveraging tools for data governance, data quality testing, and documentation
- Excellent communication skills, with the ability to translate technical concepts for non-technical audiences and serve as a liaison between Business, Engineering, and Analytics
At Super.com, we believe in supporting our team so they can thrive—both at work and in life.
Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things.
Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.
And that’s just the beginning. Visit our careers page to explore the full range of perks and benefits we offer.
Super.com is an equal opportunity employer. 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.
Top Skills
Airflow
Dbt
Python
SQL
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