moxie - Senior Analytics Engineer
Responsibilities
• 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.' • WE'RE LOOKING FOR • 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.
Benefits
• 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.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT