AI-powered personalized skin care

PROVEN Skincare

What is PROVEN?

 

 

Founded in 2017 by two women of color, PROVEN harnesses groundbreaking artificial intelligence to create personalized, adaptive, clinically-effective skincare tailored to each individual’s unique needs. 

 

Our belief is simple: Everyone deserves skincare as unique as they are. Based on our proprietary, award-winning Skin Genome Project™ database—the world’s largest beauty knowledge base—our technology turns millions of scientific data points into personalized skincare formulations that deliver results.

 

We’re relentless in our pursuit of science; driven by our love of data; and committed to transforming the one-size-fits-all skincare industry. To date, we’ve earned MIT’s AI Technology of the Year Award and Glossy’s Best Use of Technology Award—not to mention the first-ever U.S. patent for personalization in skincare. And that’s just the start: In 2022, we launched our sister company, Noteworthy Scents, to help people discover a fragrance they love through an innovative, AI-backed fragrance experience. 

 

We have assembled a world-class team of scientists, engineers, data analysts, creatives, marketers, business experts, customer support specialists, and operations professionals. We’re dedicated to our mission, growing quickly (over 50% just last year), and are always on the lookout for passionate team members. Join us at careers@provenskincare.com!

 

 

What We’re Looking For

 

We’re looking for a hands-on Analytics Engineering Lead who can both build and scale. You’ll start as an individual contributor — designing data models, managing pipelines, building dashboards, and maintaining data quality across Proven’s modern data stack — and over time grow into a player-coach, leading the data function as we scale.

This role is perfect for an analytics generalist who loves getting into the details of SQL, dbt, and BI tools, but also has the strategic thinking to architect data systems and guide how analytics supports the business.

 

What You’ll Do

 

Build & Maintain the Data Foundation

* Own Proven’s data pipelines and architecture end-to-end across Segment, Stitch, Redshift, MongoDB, and dbt.
* Build and maintain reliable, well-documented dbt models that power analytics across the company.
* Manage data quality — monitoring pipeline health, testing transformations, and resolving discrepancies.
* Partner with Engineering to optimize data capture, event tracking, and performance.

Drive BI & Analytics Enablement

* Design, build, and maintain dashboards and reports in Omni BI for Marketing, Product, Operations, and Leadership.
* Support self-service analytics by creating clean, consistent datasets and metrics definitions.
* Use Mixpanel for product and customer behavior analysis; enable others to do the same.
* Collaborate with teams to define KPIs, build data visualizations, and deliver actionable insights.

Collaborate & Scale the Function

* Work cross-functionally with Product, Marketing, and Operations to ensure data informs key decisions.
* Define and evolve Proven’s analytics standards, taxonomy, and measurement frameworks.
* Mentor analysts and engineers over time, growing into a player-coach leadership role as the team expands.

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Who You Are

 

Technical Expertise

* 5–8 years of experience in analytics engineering, data engineering, or full-stack analytics roles.
* Strong SQL skills and experience with dbt for data modeling and transformations.
* Proven experience with Redshift (or similar warehouses like Snowflake or BigQuery).
* Familiarity with Segment, Stitch (or Fivetran), and event-based data pipelines.
* Hands-on experience building dashboards and reports in BI tools (Omni, Looker, Tableau, or Mode).
* Experience with Mixpanel or other product analytics tools is a strong plus.
* Python or scripting experience for light automation is a plus.

Execution & Ownership

* Highly detail-oriented, with a bias for accuracy and accountability.
* Capable of moving between strategic architecture and tactical execution.
* Excellent communication skills — able to explain data concepts clearly to non-technical stakeholders.
* Strong organizational skills to manage multiple projects and requests simultaneously.

Leadership Potential

* Eager to mentor and eventually lead a small analytics team.
* Excited by the challenge of building a data culture from the ground up.
* Collaborative, curious, and mission-driven — focused on helping Proven use data to win.

Growth Opportunities

* Immediate ownership of Proven’s core data stack and analytics infrastructure.
* Opportunity to build and lead a small team of analysts and data engineers as Proven grows.
* Influence the company’s data-driven decision-making culture.
* Work directly with executives and functional leaders to define strategy through insights.

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Location: Remote (U.S. preferred)\*\* 

Department: Product & Technology\*\* 

Reports to: Head of Product & Technology

Compensation: $140,000-$160,000

 

Benefits of Working at PROVEN

 

We are committed to the happiness and wellbeing of our employees, and our inclusive benefits include:

* Flexible work environment - we are fully distributed with employees in CA, CT, FL, IL, NJ, NY, OH, OR, PA, & WA and you can work from any location that brings out your best
* Unlimited paid time off (covering vacation, paid bereavement, and family sick leave) - every employee needs time to take care of themselves and their family
* Exclusive employee subscription discounts and SWAG - to ensure you experience the magic of PROVEN & Noteworthy’s products (and give us valuable feedback!)
* Comprehensive health support - insurance for health, vision & dental - your health comes first, and we’ve got you covered
* Industry-leading 401k match - we invest in your future
* Company-wide events & outings - those who play together, stay together!
* Paid parental leave + flexible return to work program - your newest family members are the most important thing in your life

 

_PROVEN/Noteworthy is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law._