Decision Science is a high impact, cross-functional team of Data Analysts, Data Engineers, Analytics Engineers, Data Scientists, and Consumer Insights Researchers at Hudl. We combine qualitative and quantitative data to deliver actionable insights and scalable analyses to power strategy at the highest levels. We partner with internal Hudl teams and business leaders by providing self-service analytics, custom insights, and foresights to help them drive their business forward.
Analytics engineers at Hudl solve problems that get in the way of doing analysis. In this role, you are essential to our data strategy in reducing burdens associated with our data models and analytics tools and platforms. You also play a critical role in helping us to diagnose what is getting in the way of efficient analytics today. Identifying and addressing the root causes will allow Hudlies to make quick, data informed decisions by removing bottlenecks and automating each stage of the data ops lifecycle. One day, this might mean modeling our core data in a better way. The next day, it might mean onboarding a new analytics tool. It can also mean working with source data teams to map out the right data structure to get to a single source of truth on vital business constructs. Our analytics engineers are critical to our analytics success because they enable our data analysts and data scientists to answer business questions using our data.