EU remote
Product Data Analyst
About this role
Come join a company who is a key leader in the industry scaling the next core commerce infrastructure and on the path from $100M to $500M! Founded in 2012, Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. As the market leader globally, our products are shopper-centric, frictionless, and create memorable commerce experiences. Our products provide a competitive edge through experiences that improve brand trust, amplify product differentiation and assortments, increase conversion rate, improve profit margins, and speed time to market.
Learn how the world’s largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify everyday to stand out on the digital shelf. At Salsify, we strive to embody an equitable, diverse, and inclusive company culture. We are united across countries, levels, tenures, and a host of other dimensions of diversity. We understand that while work is just one aspect of who we are, a truly inclusive culture accounts for the full authenticity of every single human being that works here.
About the Opportunity Salsify's Product Data team exists to make R&D measurably better and to get the most value out of the data R&D produces. That splits into two jobs: showing whether our R&D teams and initiatives are succeeding, and turning R&D's data into decisions and outcomes across the business. We are hiring a Product Data Analyst to do both. The work runs from discovery through delivery. You will sit with stakeholders in R&D and across the business to understand how data can support the outcomes they are after, work with Data Platform and data owners to get the right data in place, and then build the datasets, metrics, and reporting that drive action.
You will shape the projects you work on: what the metric should be, how the dataset should be modeled, who acts on it, and what changes as a result. We are looking for someone who treats data as a product and who can pragmatically match the solution to the value at stake, whether that is a fast answer to a question someone needs today or a dataset the company will depend on for years. Responsibilities Measure the health of R&D.