Top Beauty Data & Analytics Jobs

The Analyst, Strategic Sales & Analytics transforms data into insights to drive commercial excellence, analyzes performance metrics, and partners with Sales and Marketing.

Lead GlossGenius's analytics engineering team, managing data modeling infrastructure, collaborating cross-functionally, and ensuring data models support business strategy and operations.

Support analytics by building and distributing reports, analyzing data to provide insights, maintaining analytics tools, responding to ad-hoc requests, and liaising between IT and end users.

The Senior Director will lead insights and consumer research, translating data into actionable strategies to drive business growth and community focus. The role involves synthesizing complex insights, mentoring a team, and presenting findings to senior stakeholders.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The role involves directing business intelligence efforts, overseeing data analytics and visualization, maintaining data quality governance, and leading a team to drive actionable insights for strategic decisions in healthcare aesthetics.

The Demand Planner analyzes sales data, develops forecasts, collaborates with various teams, monitors performance, and improves forecasting models.

The Sales Forecasting and Business Analyst at K18 analyzes data to support sales strategies, forecasts demand, and collaborates with various stakeholders to improve revenue growth.

The Sr. Data Analyst in Marketing will analyze campaign performance, optimize data models, automate reporting, and provide insights to drive business growth, collaborating with cross-functional teams.

The Sr. Director leads demand forecasting and business analysis, manages a global team, aligns planning with business objectives, and enhances forecasting tools. Key responsibilities include presenting data insights, managing product launches, and developing KPIs for improved accuracy.