Data Analyst

Data Analyst

This job is no longer open
At Fitbod, our mission is to empower our users of all ages, levels and experience in maximizing their health & wellbeing through a customized and dynamic fitness plan. We value ideas, set achievable goals and celebrate our wins - both big & small!  It’s a challenging and evolving environment that enables you to learn and grow.  As a part of a tightly-knit collaborative team, you will have the opportunity to work closely with our founders in the continued evolution of the Fitbod experience, and in doing so, directly help hundreds of thousands of loyal users practice fitness and lead healthier lives!

We are looking for a Data Analyst to help us monitor, understand, and improve key business metrics such as conversion and retention. You will be joining a fast-growing startup and a Data Science team with a proven record of turning health and activity data into concrete fitness guidance.

You will answer data-related questions from other teams. You will ask your own questions. You will help catch and document data errors. You will propose improvements in how we measure and use key company indicators. You will use a lot of SQL, Tableau, Big Query, Airflow, and Python.

You will back your recommendations with empirical evidence when data is available. You will learn and grow and help others learn and grow. You will feel challenged. You will feel a warm fuzzy feeling when you see our users share their stories of how they got fitter and healthier.

Responsibilities

    • Measure and monitor core business metrics such as active users, customer retention, subscriber acquisition costs, and customer lifetime value.
    • Identify North Star metrics for measuring the impact of product, marketing and business features/decisions, using data insights to propose next steps on the company roadmap.
    • Do deep data dives into workout histories in order to understand user behavior.
    • Influence other teams (Product, Engineering, Customer Success, Marketing, etc) through presentations of data-centric reports, communicating the current and projected state of the business.
    • Analyze results of A/B tests and communicate their conclusions to non-technical teams.
    • Building and maintaining dashboards that effectively communicate data insights.

Minimum Requirements:

    • Expertise & fluency with SQL.
    • Expertise & fluency with Python, specifically with Pandas and Numpy.
    • Basic understanding of cloud computing platforms (AWS, GCP), including the ability to ssh into a vm and develop remotely.
    • Solid understanding of statistical inference (e.g. hypothesis testing, regression), experimental design, and analysis.
    • Ability to communicate statistical methods and results to non-technical audiences.

Preferred Qualifications:

    • Experience using Airflow.
    • Experience communicating the results of analyses with product and leadership teams to influence product strategy.
    • Experience in product analytics, marketing, and operations analytics.
    • A passion for fitness!
Try our app for free! https://www.fitbod.me/ 
Positions are remote-only, with the option to work from our SF office when it is safe to do so.

We are looking for full-time teammates! Positions include a full benefits package including: Full Medical, Vision, Dental, Life & Disability Insurance, flexible time-off, Slavic 401(k) with a 4% company match, company-wide days off for wellness & social lunches (via Zoom of course), a stipend for the gym/fitness, and all employees are able to expense up to $2000USD/year for continuing their development while employed with Fitbod!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or Fitbod Applicant and Worker Privacy Notice.

By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
This job is no longer open
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