Do you love all things Data? Do you strive to increase customer growth and retention through data? Then we want to talk to you. In this collaborative role, you’ll query data from multiple sources, conduct formal and ad hoc analyses, and partner with Marketing and Digital Product teams to shape campaign strategy and optimize site experiences. You’ll lead advanced analytics efforts—owning forecasting and performance modeling (attribution, MMM, incrementality testing)—to elevate marketing measurement and strategic decision-making. Our ideal candidate is curious, technically skilled, and a strong communicator who can uncover opportunities and drive customer-centric growth.

QUALIFICATIONS:

• Bachelor’s Degree in Statistics, Mathematics, CS, Economics, or other technical science field (or equivalent work experience)
• 5+ years experience in an analytics role
• 3+ years of experience in digital media, performance marketing, or campaign management (paid acquisition, CRM, etc.)
• 3+ years working with MTA models, MMM and incrementality testing of marketing channels and products
• 3+ years experience programming with SQL and relational databases (Snowflake, BigQuery, etc.)
• 3+ years experience with data visualization tools (Tableau, Looker, Google Data Studio, etc.)
• 2+ years of management experience
• Experience developing and applying advanced analytics techniques for marketing measurement, using Python, R, or other statistical programming languages.
• Strong Excel skills (Pivot Tables, VLOOKUP, etc.) with experience manipulating, analyzing, and visualizing data
• Desire to continually keep up with advancements in data team practices
• Strong written and verbal communication skills

A LITTLE BIT ABOUT US…

FIGS, Inc. is a founder-led, direct-to-consumer healthcare apparel and lifestyle brand that seeks to celebrate, empower and serve current and future generations of healthcare professionals. We redefine what scrubs are by creating technically advanced apparel and products that feature an unmatched combination of comfort, durability, function and style, all at an affordable price. With the largest DTC platform in healthcare apparel, we sell our products to a rapidly growing community of loyal customers. Through these customer relationships, FIGS has built a community and lifestyle around a profession, revolutionizing the large and fragmented healthcare apparel market and becoming the industry’s category-defining healthcare apparel and lifestyle brand.
Our Threads for Threads initiative is integral to our mission to improve the lives of healthcare professionals on a global scale. Founded alongside FIGS in 2013, Threads for Threads donates scrubs to healthcare professionals working in resource-poor countries around the world.

• Lead and develop a direct report, providing technical guidance and support for their professional development and impact across the team.
• Partner with Marketing to develop and implement data-driven strategies across digital, traditional, and brand channels—driving acquisition, engagement, retention, and lifetime value.
• Design and implement incrementality testing methodologies (e.g., geo holdouts, lift studies, etc) to measure true marketing impact across channels and campaigns.
• Lead advanced analytics initiatives to improve marketing measurement, including development and refinement of forecasting models, attribution, and marketing mix modeling (MMM).
• Own marketing analytics, compiling data from multiple sources to create dynamic reports, dashboards, and ad hoc analyses, etc.
• Proactively identify opportunities for optimization across marketing, website, and app by analyzing how traffic quality, user intent, and campaign type affect conversion and funnel behavior.
• Understand and analyze our product portfolio and partner cross-functionally to map product performance to customer segments, deepening our connection with healthcare professionals.
• Support agency relationships, working with external partners on reporting and analyzing tactical channel performance.
• Partner with data engineering and technical teams to ensure data accuracy for reporting and analysis.
• Communicate complex data concepts and insights across all levels of the organization.