Beautycounter’s mission is to get safe products into the hands of everyone. We’re a beauty brand dedicated to radical transparency, and our Ingredient Selection Process sets a new standard for health and safety while ensuring our products are effective and beautiful.

As a direct retail brand, we distribute our products through relationship networks and online. Our social sales platform enables entrepreneurship and creates an exceptional business opportunity. The convenience of our ecommerce site serves as a comprehensive educational resource and allows customers to shop with us directly.

We’re committed to challenging the current industry, empowering people to make informed choices, and ultimately helping create a safer and healthier world for everyone.

Are you a seasoned Sr. Marketing Data Analyst with a passion for marketing modeling and insights? Do you have a substantial quantitative skill set and direct experience in marketing science practices like Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM) and experimentation? If so, we want you to join our rapidly growing Data Science and Analytics team at Beautycounter!

As a Sr. Marketing Data Analyst, you will have the unique opportunity to shape and drive our company's analytical capabilities, while providing ongoing insights that inform some of the most critical business decisions at Beautycounter.

In this dynamic and fast-paced environment, you will need to be a strategic thinker with excellent organizational skills, follow-up abilities, and effective verbal and written communication. Your role will be instrumental in driving our company's marketing efforts, and you will play a key role in the success of our business

In This Role You Will:

• Quantify and optimize the ROI of marketing investments across channels, recommending optimal spend ranges for owned and paid media
• Build and maintain mixed media models to support overall marketing efforts
• Analyze consumer online behavior and provide actionable insights to enhance marketing campaign ROI
• Evaluate A/B and Multi-variate tests, communicating results and providing recommendations
• Provide data-informed decision-making support to commercial, marketing, and product management teams
• Support ad-hoc analysis to identify opportunities for increased ROI through changes in marketing mix and timing
• Provide insights to marketing teams, helping to design and execute experiments to achieve company goals such as reach and customer lifetime value
• Manage reporting requests from start to finish, including data collection, analysis, recommendations, and presentations
• Lead research and analysis efforts to identify opportunities for website enhancements and new digital marketing initiatives based on business trends, competitive benchmarks, and customer behavior data.

Qualifications:

• 5+ years of experience in analytics/marketing science role preferable in a related area such as cpg or retail.
• Bachelor’s degree with a concentration in statistics or econometrics preferred
• Understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement
• Understanding of incrimentality experiments to validate model recommendations
• Experience in SQL as well as statistical modeling platforms (Python, R, etc)
• Strong quantitative and qualitative analytical abilities
• Strong communication skills; written and verbal.
• High degree of attention to detail and diligence in verifying accuracy & completeness of work
• Direct Sales/Direct Retail experience preferred but not required.