Principal Data Analyst

Moxie•New York, NY

4d•Remote

About The Position

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 of more than 140 people, supporting hundreds of practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. We’re looking for a Principal Data Analyst to build and lead the foundation of our 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. While you’ll have working knowledge of our data architecture and can query it independently, this role is primarily analytics-focused: your superpower is turning ambiguous business questions into clear, actionable answers. This is a rare opportunity to be the lead 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.

Requirements

A proven track record of delivering actionable insights that shape strategy across product, marketing, or operations.
Expertise with analytics stacks such as dbt, Snowflake, Omni/Looker, Segment, and Mixpanel (or similar).
Ability to balance analytical depth with pragmatic execution — you’re comfortable querying data directly, but you know the goal is driving clarity and action, not perfect pipelines.
Strong business instincts to prioritize analytics work that moves the needle on growth, efficiency, or customer experience.
Exceptional communicator who can translate complex analysis for technical and non-technical teammates, build strong cross-functional relationships, and thrive in ambiguity.

Responsibilities

Deliver high-leverage analytics early: Ship dashboards and analyses that quickly surface insights and build trust across the business.
Work within our analytics stack: Use tools like dbt, Snowflake, Omni, and Mixpanel to query and structure data, partnering with Data Engineering as needed — but focusing on analytics and insights, not pipelines.
Translate business questions into insights: Turn ambiguous questions (e.g., “What’s driving retention?” or “Which pricing levers impact GMV?”) into clear, actionable recommendations that inform strategy.
Introduce modern tools & AI: Experiment with AI-driven workflows, recommendations, and benchmarking tools that embed intelligence into dashboards and products.
Lead critical initiatives: Finalize our marketing services analytics stack (e.g., Meta ad stitching) and build our core Practice Intelligence Dashboard — the tool our customers will use to run their businesses.