Top Beauty Data & Analytics Jobs

The Sr. Analytics Engineer will design and maintain analytics data for marketing insights, transforming raw data into usable datasets while collaborating with teams to ensure data integrity and scalability.

The Senior Marketing Analyst will enhance analysis within the Go-to-Market team, optimize marketing attribution, analyze customer funnels, and collaborate with various teams on campaigns and revenue growth solutions.

The Analyst will analyze sales data, identify customer trends, and support strategies for retention and growth in the beauty sector, collaborating with various teams.

This role involves owning analytics for Finance and Revenue Operations, delivering financial reporting, analyzing revenue metrics, and translating complex data into actionable insights using SQL and Python.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The Pricing Lead will develop and execute pricing strategies, engage cross-functional teams, analyze data for pricing opportunities, and enhance pricing processes.

Build and operate reliable batch and streaming data pipelines from OT and enterprise systems into the UNS and analytics platforms. Integrate lab and shop-floor equipment and enterprise apps, implement CI/CD and IaC, enforce security and compliance (GxP/21 CFR Part 11), establish observability and runbooks, and collaborate with data science and stakeholders to define data contracts and reusable integration patterns.

The role involves supporting Category Analytics & Strategy, leading reporting on business changes, identifying growth opportunities, and collaborating across teams while mentoring team members.

Manage category analytics and strategy, focusing on performance reporting, growth opportunities, and collaboration with cross-functional teams while leading the analytics team.