Moxie

Moxie

SeniorAnalyticsEngineer

$141–170k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer at Moxie. Skills: dbt expertise, SQL expertise, data modeling, building clean, scalable, well-documented models. Own and evolve Moxie's Semantic Layer (dbt + Omni). build benchmarking and segmentation datasets”

What You'll Achieve.

targeting 98%+ accuracy for core medspa operational metrics; move Practice Intelligence from 'here's what happened' to 'here's what's going to happen, and here's what to do about it'

Industry & Context.

Moxie
Problems you'll solve

gets frustrated by numbers that can't be defended; optimizing SQL models; writing Python when the job requires it; explore 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'

What They're Looking For.

Must Have

dbt expertise, SQL expertise, 3–6 years of experience in analytics engineering or a closely related role

Nice to Have

exposure to a vertical SaaS or healthcare-adjacent data environment, AI-curious builder, mention AI tools in your workflow, experimented with LLMs, come from a company known for bold AI adoption, Familiarity with tools like Cursor, Claude Code, or similar is a plus, been an early or foundational data hire before, genuinely ready to step into that level of ownership for the first time

What You'll Do.

Own and evolve Moxie's Semantic Layer (dbt + Omni)

build benchmarking and segmentation datasets

Enable embedded AI within Moxie Suite by developing high-quality datasets

Drive data trust across the business by leading the Revenue Reconciliation & Operations workstream

Partner with BizOps to establish correlation and affinity metrics

Lay the groundwork for predictive analytics

How You'll Work.

Team & Collaboration

partnering closely with a dedicated BizOps counterpart; Partner with BizOps to establish correlation and affinity metrics; work alongside a dedicated BizOps Manager

Communication Scope

translate data findings into business recommendations; explain what it means and why it matters to non-technical stakeholders

Full Job Description

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. ABOUT THE ROLE 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. WHAT YOU'LL DO - 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

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