Staff Data Analyst (eCommerce Analytics Specialist)

Pura • Pleasant Grove, UT

1d

About The Position

Staff Data Analyst (eCommerce Analytics Specialist) Join Us at Pura—Reimagining Fragrance for the Future At Pura, we believe life is better when it smells good. Fragrance has the unique power to transform spaces, elevate moods, and create lasting memories. But we know it can do even more. That’s why we’re pioneering the future of fragrance, combining cutting-edge smart home technology with premium, clean scents to create personalized, meaningful experiences in every home. We’re not just a fragrance company—we’re on a mission to change the way people experience scent. At Pura, we are redefining fragrance as a critical element of design, on par with color, texture, sound, lighting, and furniture. We call this Scent Design —transforming scent from an afterthought into an intentional, skillful component of every space. By blending artistry and science, Pura allows users to design their own “scentscapes” that enhance daily life and craft environments that feel as good as they smell. Why Join Pura? Our journey began with two innovators, Richie Stapler and Bruno Lima, and their shared vision of revolutionizing how we experience fragrance. Since then, Pura has grown into a company that sells a fragrance every 3.7 seconds, partnering with iconic brands like Curio, Anthropologie, and Disney. We’ve been recognized as the Fastest Growing Company in Utah, and we are passionate about making scent a core part of life’s most memorable moments. Your Role at Pura: We are looking for a temporary 6-9 month (with potential to convert to permanent full-time role) Staff Data Analyst Consultant to join our growing Business Intelligence team. We are looking for an analyst with eCommerce analytics related experience, who loves solving problems and telling stories with data analysis and visualization. This person will help enable a data-first culture and will work closely across multiple teams to measure user engagement, feature adoption, and product performance. This person will also help provide insights and opportunities to our Brand Partners for securing and expanding their footprint in our website marketplace. You will help us inspire a belief in the power of fragrance to craft and elevate memorable moments for our Owners. This is your chance to make an impact in a high-growth company that’s redefining the way people experience scent.

Requirements

• 5-8+ years of experience in a data analysis role (eCommerce field preferred)
• Advanced experience with MMM and MTA tools as well as Google Analytics (or equivalent)
• Proficiency with Microsoft Office or Google applications (Excel/Sheets, SQL)
• Proficiency with data warehouse architecture and Git
• Experience in a data visualization tool (ex: Tableau)
• Experience in advanced analytic and statistical techniques, A/B testing, customer segmentation, marketing effectiveness, and revenue/opportunity attribution
• Experience building and automating management-level reporting
• Strong communication skills. Demonstrated ability to speak on a technical level and communicate clearly with engineers, customer service, marketing, manufacturing, and designers
• Experience facilitating cross-functional teams with a strong sense of accountability

Responsibilities

• Head data-based eCommerce and marketing projects and initiatives to support sales/marketing team KPIs and brand partnerships
• Define, analyze, and help track new metrics that inform strategy
• Compile, analyze, visualize, and interpret critical product and web analytics data for presenting to teams and brand partner stakeholders
• Provide quantitative balance throughout the entire product life cycle (research, design, implementation, and iteration)
• Make recommendations on how to improve user experience and business performance
• Explore data to find trends and opportunities for our product teams and brand partners
• Develop and maintain data dashboards and reporting, including ad hoc requests and reporting automation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed