Senior Data Analyst
Job Summary
Job Description
As a Senior Data Analyst (III) at Super.com, you'll be a key player in driving business strategy and growth by leveraging data to inform financial decisions. Responsibilities include managing and organizing data, creating automated reports using Looker, presenting findings to stakeholders, conducting advanced quantitative analysis (forecasting), designing and evaluating experiments, and ensuring statistical rigor. You'll champion a data-driven culture and contribute to short and long-term decision-making within the Finance team, utilizing technologies like Postgres, Snowflake, and Looker.
Must have:
- Champion data-driven decision-making
- Manage and organize raw data
- Develop automated Looker reports
- Present findings to stakeholders
- Advanced quantitative analysis
- Ensure statistical rigor
13 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 the role:
We are looking for a Senior Data Analyst (III) to join our Analytics team supporting Finance. As a Senior Data Analyst (III), you will play a critical role in driving our business strategy and growth by leveraging data to calculate contribution profit, EBITDA, revenue, and credit consumption (among other financial data points). Your work will help steer our short and long term decisioning.
What you’ll be working on:
- Champion a Data-Driven Culture – Act as an ambassador for data-driven decision-making, using data to answer business questions, drive strategy, and deliver measurable results.
- Manage and Organize Data – Access, clean, and structure raw data efficiently, ensuring it is useful for reporting and, at times, production.
- Develop Powerful Visualizations – Create automated ledger and Looker reports that help the Finance team track quarterly key performance metrics and short-term-incentive-plan goals.
- Deliver High-Impact Presentations – Present deep-dive findings and regular project/progress summaries to key stakeholders, guiding informed decision-making.
- Tackle Complex Business Questions – Apply advanced quantitative analysis like forecasting to project future performance of new and existing initiatives.
- Ensure Statistical Rigor – Design and evaluate experiments, determine statistical significance, run power tests, and make data-backed recommendations on when to rollout, iterate, optimize, or pivot.
Our technology:
- Slack and Google Suite for communication
- Postgres for storage, Redis for caching, and Snowflake for our data warehouse
- Gitlab for version control and CI/CD, and our infrastructure is hosted on AWS, making use of Kubernetes, RDS, etc
- Amplitude for client-side metrics, alerting, and experimentation
- Looker for data visualization
- DBT for data modelling, developing robust metadata, and unit tests
- Select for cost monitoring
- Portable, hightouch, Big Eye, and Fivetran for ETL/ELT
- Secoda as a data catalogue
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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