Senior Analytics Engineer

Moxie

Senior Analytics Engineer developing Moxie's Semantic Layer and actionable insights. Collaborating closely with the Data and Analytics team to enhance medspa performance using data-driven methodologies.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.'

Requirements

What you’ll need

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.
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.
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.

Benefits

Comp & perks

At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included.
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.

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Hard Skills & Tools

analytics engineeringdata modelingdbtSQLPythonpredictive analyticsdata governancebenchmarkingsegmentationconversational analytics

Soft Skills

clear communicationbusiness acumenproblem-solvingcollaborationdata trustownershipcuriosityadaptabilitytranslating data findingsinterpersonal skills