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.

What We’re Looking For

At Proven Group, data powers everything we do. With two innovative product brands, PROVEN Skincare and Noteworthy, we are revolutionizing personalization in the skincare and fragrance industries. This role will sit within our centralized data team, which serves as the backbone for analytical leadership across both brands. The Data Analytics Engineer will play a critical role in building and maintaining scalable data infrastructure that supports various departments, enabling them to make data-driven decisions. By bridging technical expertise with strategic insights, this role ensures we can drive growth, enhance personalization, and optimize performance across our diverse product lines in skincare and fragrances.

What You’ll Do

Data Modeling & Pipeline Development

• Design and implement scalable, maintainable data models and pipelines using dbt to ensure data accuracy, reliability, and accessibility.
• Build semantic layers for self-service analytics, enabling teams to extract actionable insights independently.

Analytics & Insights Generation

• Conduct deep-dive analyses for A/B tests, product launches, and marketing initiatives, translating findings into growth opportunities.
• Analyze user engagement, funnel performance, and other KPIs to guide acquisition, retention, and personalization strategies.

Reporting & Automation

• Develop automated reporting solutions, dashboards, and ad hoc analyses to support business operations.
• Establish and maintain robust data quality and validation processes to ensure stakeholder trust.

Collaboration & Stakeholder Engagement

• Partner with cross-functional teams, including Marketing, Product, and Engineering, to deliver impactful data solutions aligned with business goals.
• Act as a data subject matter expert, mentoring team members and ensuring analytics best practices.

Who You Are

• Advanced SQL proficiency with expertise in modern data stack technologies (dbt, Snowflake)
• Proven experience (3-5 years) implementing and maintaining semantic layers for self-service analytics
• Proficiency with BI tools such as Looker, Tableau, or similar platforms.
• Understand how to build scalable analytic Platform with technology like dbt and semantic layer
• Comprehensive experience with multiple data warehouses (Snowflake, Redshift, BigQuery)
• In-depth understanding of Kimball’s dimensional data modeling and data warehouse architecture
• Proficient in data pipeline orchestration (Airflow, Dagster)
• Advanced knowledge of data testing, validation, and quality monitoring frameworks
• Ability to collaborate with cross-functional business stakeholders in a self-service analytics environment.
• Strong communication skills to convey technical insights to non-technical audiences.

Technical Expertise

• Background in eCommerce analytics, especially for DTC and subscription-based business models (e.g., LTV, CAC, ROAS, retention metrics).
• Proven experience with A/B testing and experimental design
• Understanding of marketing analytics and Customer Data Platforms (Google Analytics, Segment).

Nice-to-Have Skills

• Experience with CI/CD and version control in analytics workflows
• Familiarity with Shopify data ecosystems
• Working knowledge of NoSQL databases
• Basic understanding of real-time data streaming
• Experience with Reverse ETL processes
• Intermediate programming skills in Python/R for analytics and pipeline automation

Our Current Tech Stack

• Customer Data Platform (CDP): Segment
• Data Warehousing: Redshift, MongoDB
• Data Transformation and Modeling: dbt
• Analytics and Visualization BI: Hex, Omni
• Data Integration and Pipelines: Stitch and custom built python script

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.