Salary
💰 $127,900 - $173,000 per year
About the role
- At Moxie, we empower entrepreneurs to launch, run, and grow their own aesthetics businesses with a combination of software and services.
- In just over three years, we have grown from an idea to a global, remote-first team of more than 140 people.
- Our business is in the top decile for growth, and our team is consistently described as high-trust, low-ego, and high-output.
- We’re looking for an Analytics Engineer to build the foundation of our data and analytics function from the ground up.
- You’ll own high-impact dashboards and reporting infrastructure, partner cross-functionally to answer strategic business questions, and deliver insights that directly shape Moxie’s product, marketing, and operations.
- You’ll also lay the groundwork for smarter, AI-enabled analytics to help our team make faster, better decisions.
- This is a rare opportunity to be the analytics hire at a fast-growing startup where data is core to the business.
- You’ll work closely with the Chief Product Officer, Marketing leadership, and even the CEO — bringing structure and clarity to decisions that directly impact revenue, growth, and customer experience.
- Our objectives for the role:
- Ship high-leverage analytics early: Deliver your first lightweight model and build/edit key internal and externally facing dashboards to build trust and show value fast.
- Partner with Data Engineering on foundational systems: Work on core analytics tools like Omni, dbt, Snowflake, and Mixpanel while helping the team self-serve insights.
- Drive data-informed decision-making: Partner with Product, Ops, and Marketing to surface levers that grow medspa GMV, like pricing, retention, or offer structure.
- Bring AI and modern tools into the mix: Begin experimenting with AI-driven workflows, recommendations, or benchmarking tools that embed intelligence into our dashboards and product.
- Lead major initiatives: Finalize our marketing services data stack (e.g., Meta ad stitching) and build our core Practice Intelligence Dashboard — the tool our customers will use to run their business.
- We’re looking for someone who:
- Has a proven track record of delivering actionable insights across product, marketing, or ops — not just reporting the data but shaping strategy.
- Is deeply comfortable with our core stack (or similar): dbt, Snowflake, Omni/Looker, Segment, and Mixpanel.
- Knows how to balance scrappy execution with solid systems thinking — when to hack and when to invest in architecture.
- Has strong business instincts and understands how to prioritize the analytics work that will drive growth or improve efficiency.
- Communicates clearly with technical and non-technical teammates, builds strong relationships, and thrives in ambiguous environments.
- Why join us?
- Above all, we’re in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain an opportunity for independent owner-operators instead of being dominated by a small number of large chains.
- We have much left to build. But given the market feedback we’re getting and our founding team’s company-building experience, we think we are writing the first chapters of a real success story.
- You’ll have the chance to:
- Build the analytics foundation for a scaling company.
- Shape how data is used across the entire org.
- Experiment with AI and automation where it makes a real impact.
- Earn competitive salary and stock, plus generous health/dental/vision benefits.
Requirements
- Has a proven track record of delivering actionable insights across product, marketing, or ops — not just reporting the data but shaping strategy.
- Is deeply comfortable with our core stack (or similar): dbt, Snowflake, Omni/Looker, Segment, and Mixpanel.
- Knows how to balance scrappy execution with solid systems thinking — when to hack and when to invest in architecture.
- Has strong business instincts and understands how to prioritize the analytics work that will drive growth or improve efficiency.
- Communicates clearly with technical and non-technical teammates, builds strong relationships, and thrives in ambiguous environments.