Senior Analytics Engineer

At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide.

Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey.

We're looking for a Senior Analytics Engineer to own Moxie's Semantic Layer — the data foundation that powers our most strategic business initiatives, from Practice Intelligence to the AI-driven insights embedded within the Moxie Suite product. You'll also be stepping into a high-visibility role where your data patterns, conventions, and analytical philosophy will directly shape how an ambitious medspa platform understands itself and its customers.

You'll be the second full-time engineer on a small, focused Data and Analytics team, partnering closely with a dedicated BizOps counterpart so you can go deep on the engineering side without getting pulled into analyst work. The team is moving fast — from descriptive reporting today toward predictive and prescriptive analytics by year one — and this role sits right at the center of that journey.

• Own and evolve Moxie's Semantic Layer (dbt + Omni), build benchmarking and segmentation datasets that surface actionable insights across key medspa performance pillars — patient acquisition, retention, operational performance, and more.

• Enable embedded AI within Moxie Suite by developing high-quality datasets that power conversational analytics and accurate recommendations, targeting 98%+ accuracy for core medspa operational metrics.

• Drive data trust across the business by leading the Revenue Reconciliation & Operations workstream within the Data Governance initiative — unblocking enterprise-critical reports like staff and service-level pay.

• Partner with BizOps to establish correlation and affinity metrics (e.g., 'Service A is highly correlated with increased retention') that enable the Sales and PSM teams to close more enterprise medspas.

• Lay the groundwork for predictive analytics by exploring methods that take Practice Intelligence from 'here's what happened' to 'here's what's going to happen — and here's what to do about it.'

• A strong data modeler with deep dbt and SQL expertise who can build clean, scalable, well-documented models that others trust — and who gets frustrated by numbers that can't be defended.

• Someone who bridges engineering and business: you're as comfortable discussing medspa KPIs like AOV and retention rate as you are optimizing SQL models or writing Python when the job requires it.

• 3–6 years of experience in analytics engineering or a closely related role, ideally with exposure to a vertical SaaS or healthcare-adjacent data environment where data quality really matters.

• An AI-curious builder — you mention AI tools in your workflow, you've experimented with LLMs, or you've come from a company known for bold AI adoption. Familiarity with tools like Cursor, Claude Code, or similar is a plus.

• A clear communicator who can translate data findings into business recommendations — not just deliver a dataset, but explain what it means and why it matters to non-technical stakeholders.

• Someone who has been an early or foundational data hire before, or is genuinely ready to step into that level of ownership for the first time.

• You help set the standard, not inherit one. As the second full-time engineer on the team, your modeling patterns and analytical philosophy become Moxie's — you're building the foundation, not maintaining someone else's.

• Data architecture competitors can't match. Moxie's vertical model captures distinct clinical events tied to providers and patients at a level of detail that competitor EMRs simply don't have. Every new service Moxie adds makes the dataset richer and more defensible.

• A true partner, not a ticket queue. You'll work alongside a dedicated BizOps Manager — they own the insights, you own the trust. That split lets each of you go deep instead of being half-analyst, half-engineer.

• Descriptive today, prescriptive by year one. The 9-month milestone is explicit: move Practice Intelligence from 'here's what happened' to 'here's what's going to happen, and here's what to do about it.' This is work that goes well beyond metric definitions.

• A modern stack with room to shape it. Snowflake, dbt, Omni, Airbyte, Prefect, GitHub — plus AI tooling like Claude Code, Cursor, and n8n. You'll actively influence how the stack grows, not just work within it.

At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day.

We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.