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Senior Data Analyst

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


Who we’re looking for:
  • 2+ years experience with a mainstream dashboarding tool such as Looker
  • Experience working in a fast-paced Finance role, or at a start-up
  • A bachelor’s degree in Finance, Analytics or related field
  • Strong in SQL, familiar with DBT, and some experience with Git
  • Proficient in Python for data science and process automation with on-the-job experience (can be within a co-op or internship environment)
  • Aligned with hyper-growth culture at Super.com
  • Exceptional communication and presentation skills, with the ability to break down complex problems into simple, non-technical explanations that make them easily understandable to all stakeholders
  • CFA preferred
  • Master’s degree in quantitative field preferred


We’ve got you covered:
  • 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, annual company offsites 
  • We welcome new family additions with generous parental leave and a flexible return-to-work plan
  • Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets
  • This is just scratching the surface– see our careers site for a more detailed overview of our perks & benefits


$107,000 - $164,000 a year
The range is dependent on experience and not inclusive of any other benefits or equity that may exist in your total compensation package.

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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Average salary estimate

$135500 / YEARLY (est.)
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$107000K
$164000K

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What You Should Know About Senior Data Analyst, Super.com

At Super.com, we’re on the lookout for a talented Senior Data Analyst (III) to join our dynamic Analytics team, particularly focusing on Finance. Super.com is all about maximizing lives – both for our customers and our employees. As a Senior Data Analyst, you’ll be right at the heart of our operation, utilizing your skills to evaluate critical financial metrics like contribution profit, EBITDA, revenue, and credit consumption. Your insights will significantly influence our strategic decisions and growth trajectory. You’ll champion a data-driven culture, transforming raw data into actionable reports and visualizations that will aid our Finance team in tracking key performance indicators. One of the most exciting aspects of this role is the opportunity to present your findings to our stakeholders, ensuring they have the information they need to make informed decisions. Throughout your journey with us, you’ll also utilize cutting-edge technology, such as Slack, Google Suite, and Looker, while collaborating in a supportive and fast-paced environment. With your experience in SQL and Python, along with your strong analytical mindset, you’ll tackle complex business questions and help shape the future of Super.com. We're a remote-first company, providing a flexible working environment that allows you to thrive. Join us in redefining how we leverage data to drive success and impact at Super.com!

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Super.com
What are the primary responsibilities of a Senior Data Analyst at Super.com?

As a Senior Data Analyst (III) at Super.com, your main responsibilities include managing and organizing raw data, creating powerful data visualizations, and delivering high-impact presentations to stakeholders. You'll leverage advanced quantitative analysis and ensure statistical rigor in your evaluations, guiding strategic decisions with your findings.

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What qualifications are required for the Senior Data Analyst position at Super.com?

To qualify for the Senior Data Analyst (III) position at Super.com, you should have at least 2 years of experience with a mainstream dashboarding tool like Looker, a bachelor’s degree in Finance or Analytics, and proficiency in SQL. Familiarity with DBT and experience in Python for data science is also preferred, along with exceptional communication skills.

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How does Super.com promote a data-driven culture in the role of Senior Data Analyst?

Super.com promotes a data-driven culture by encouraging analysts like you to act as ambassadors for data-centric decision-making. In your role as a Senior Data Analyst, you'll use data to answer business questions, measure performance, and ultimately drive strategy across various departments, fostering a rich environment for data utilization.

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What tools will a Senior Data Analyst use at Super.com?

As a Senior Data Analyst (III) at Super.com, you will utilize various tools, including Looker for data visualization, Postgres for storage, and Amplitude for client-side metrics. Additionally, you will leverage Slack and Google Suite for communication, and tools like Gitlab and Snowflake for version control and data warehousing.

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What does Super.com offer for career progression for a Senior Data Analyst?

At Super.com, career progression is taken seriously. As a Senior Data Analyst (III), you will have access to personal and team-level development budgets, mentorship opportunities, and the chance to work alongside industry experts. The flexible remote-first environment also supports your work-life balance, allowing you to thrive and grow in your career.

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Common Interview Questions for Senior Data Analyst
Can you describe your experience with data visualization tools as a Senior Data Analyst?

In your response, highlight specific instances where you utilized tools like Looker to create impactful visualizations. Discuss the types of reports you've generated and how they influenced decision-making processes at your organization.

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How do you ensure the accuracy and reliability of the data you work with?

Discuss the importance of clean data and the processes you implement for data validation. Mention any techniques you use to identify anomalies or outliers in the data to ensure statistical rigor in your analyses.

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What approach would you take to present complex data findings to non-technical stakeholders?

It's crucial to convey complex information simply. Explain how you break down data points into relatable insights, use visuals to support your narrative, and focus on outcomes rather than technical jargon to make your presentations engaging.

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Can you give an example of a complex business question you've tackled using data analysis?

Provide a specific example where your analysis directly impacted business strategy. Explain the data sources you utilized, the analysis performed, and how your findings influenced decision-making within the company.

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What experience do you have with statistical analysis and hypothesis testing?

In your answer, outline your familiarity with different statistical methods, including A/B testing and regression analysis. Share how you've applied these methods to inform business strategy at your previous workplaces.

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How do you prioritize your tasks when dealing with multiple data analysis projects?

Talk about your strategies for managing workload, such as utilizing project management tools or communication with stakeholders to set clear priorities. Highlight your ability to be proactive and adaptable in a fast-paced environment.

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Discuss your experience working collaboratively in a team setting.

Describe your experience working with cross-functional teams and how you foster collaboration to achieve common goals. Highlight any tools or practices you have found effective in ensuring smooth teamwork.

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What methodologies do you apply for data cleaning and organization?

Share the methodologies you typically use for data cleaning, including any tools or programming languages that help automate these processes. Explain why organization is crucial for subsequent analysis.

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How do you keep up with new developments and trends in data analytics?

Discuss your commitment to continuous learning, including any courses, certifications, or webinars you participate in. Share relevant industry publications or communities you follow to stay informed about the latest trends.

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What do you see as the biggest challenges in the role of a Senior Data Analyst?

Reflect on common challenges such as data accessibility, ensuring stakeholder engagement, and the evolving nature of data privacy regulations. Offer insights into how you've addressed these challenges in your past roles.

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Full-time, remote
DATE POSTED
March 23, 2025

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