Data Analytics Manager

Our Company: At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you! impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal and Fanatics visit www.impact.com. Your Role at impact.com: impact.com powers the partnership economy, helping brands and partners grow revenue through a modern SaaS platform used by thousands of companies globally. This is a senior player-coach role: you'll stay hands-on with deep analytical work while leading and developing a high-performing team of analysts. As Data Analytics Manager, you'll own the quality, consistency, and strategic impact of all analytical work produced by the Data Analyst team. You'll establish value-stream-aligned engagement patterns, drive Looker adoption and self-service maturity, and build analytical excellence through rigorous methodology, experimentation frameworks, and mentorship. You'll work on a modern cloud stack (BigQuery, dbt, Looker) with strong support from Analytics Engineering, who own the data platform and semantic layer. Our ideal candidate has deep analytical expertise, a track record of building teams, and the energy to create structure where little exists. What You'll Do: Lead, mentor, and de