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Staff Data Analyst

Super.com

United States

Remote

USD 124,000 - 200,000

Full time

Yesterday
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Job summary

Super.com is seeking a Staff Data Analyst to join their Analytics & Data Science team. This role involves coaching marketing stakeholders, designing experimentation frameworks, and translating complex analyses into actionable insights. With a focus on growth and marketing analytics, this position offers an impactful opportunity to drive data-driven decisions in a remote-first environment.

Benefits

Unlimited PTO
Travel discounts
Weekly UberEats credit
Annual company offsites
Generous parental leave
Wellness budgets

Qualifications

  • 5+ years of experience in Analytics or Data Science.
  • Expert level SQL and proficient with Python for data science.
  • Knowledge of modern marketing measurement techniques.

Responsibilities

  • Coach growth marketing stakeholders on measurement techniques.
  • Design and implement scalable experimentation frameworks.
  • Translate complex analysis into actionable recommendations.

Skills

SQL
Python
Marketing analytics
Data visualization

Tools

GA4
Amplitude
Snowflake

Job description

Join to apply for the Staff Data Analyst role at Super.com

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Join to apply for the Staff Data Analyst role at Super.com

This range is provided by Super.com. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$124,000.00/yr - CA$200,000.00/yr

At Super.com, we’re on a mission to help people save more, earn more, and get more out of life. That goes for both our customers and our team.

For our employees, Super.com is more than just a workplace—it’s an opportunity to grow, make an impact, and unlock your full potential. We invest in learning, celebrate bold ideas, and create pathways for career growth.

We move fast, think big, and always put people first. Your career should be as rewarding as the work you do, and at Super.com, we’re here to make every day Super.

About This Team

This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and are looking for teammates to roll up their sleeves and do high quality data work.

About This Role

Our data analysts are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work. We are specifically hiring to grow and expand our marketing analytics techniques.

Responsibilities

  • Coach growth marketing stakeholders on effective channel measurement techniques, set organizational standards and develop measurement playbooks & tools
  • Oversee & evolve event tracking best practices to capture any issues or errors, collaborating closely with engineers responsible for event tracking implementation
  • Design and implement scalable experimentation frameworks (geo-lift tests, holdout groups, incrementality tests) to measure causal impact of marketing efforts
  • Define, refine, and evolve channel-specific KPIs and metrics that align with broader business goals and marketing strategies
  • Translate complex analysis into clear, actionable recommendations through dashboards, presentations for marketing leaders
  • Autonomously identify business challenges that have impactful data solutions and build the right solution to the problem


Preferred Experience

  • 5+ years of experience in Analytics or Data Science, with experience on growth & marketing analytics
  • Previous experience implementing marketing & product analytics platforms (GA4, Amplitude, Singular etc)
  • Knowledge and experience of modern marketing measurement: marketing mix modelling (MMM), marketing attribution & incrementality testing to determine channel efficiency
  • Expert level SQL and proficient with Python for data science
  • Bias to action to dive into the data to find a solution to business problems without direct guidance
  • Excellent interpersonal skills to partner with business leads to identify analytics opportunities and communicate complex results simply


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 Travel, 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


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.

As part of our compensation philosophy at Super.com we partner with a third party to benchmark roles based on geographic location. For US applicants, you will be informed of which Tier applies to you in the initial call with our Talent Team.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology

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