Fanatics is the ultimate one-stop sports fan destination that ignites and harnesses the passion of fans and maximizes the presence and reach for preeminent sports partners globally. Leveraging long-standing relationships with more than 900 sports properties, a database of 90+ million consumers worldwide and a trusted brand name, Fanatics is building the leading global digital sports platform, complete with offerings including e-commerce and licensed merchandise, physical and digital trading cards and collectibles, and online sports betting and iGaming.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Fanatics Collectibles, a transformative company that is building a new model for the hobby and giving collectors an end-to-end physical and digital collectibles experience; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform.

As a market leader with more than 10,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) provide employees with the tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

As a Data Analyst you will place quantitative frameworks around the products we create, our users, and our business. In this critical position, you will leverage studies and suggest datadriven solutions to enable your key partners to draw relevant conclusions across the verticals. This role requires excellent attention to detail, the ability to work cross-functionally and to communicate effectively. This is a unique opportunity to join and make a lasting impact on a fast-growing company. The ideal candidate should be creative, entrepreneurial, passionate, highly analytical and goal oriented. This role will need to be nimble and adaptable at the early stages of a fast growing startup.

What You'll Do

• Apply your expertise in quantitative analysis, data mining, and data presentation to see beyond the numbers and understand how users interact with both our consumer and business products.
• Identify the opportunities most important for growth, to remove barriers for product adoption, retention, engagement, and monetization.
• Understand funnels, ecosystems, user behaviors, and long-term trends in adapting our products to identify opportunities for step-changes and angle changes in growth.
• Implement event tracking across product verticals and define and analyze metrics that inform the success of these features.
• Design experiments to drive product direction with iterative innovation and measurement.
• Own data collection and product instrumentation implementation and quality assurance.
• Work with business, product, engineering, and design to influence and inform teammates' decisions throughout the initiative lifecycle.

What You'll Need

• Bachelor's degree in Engineering, Statistics or a related field
• 5+ years of analytics experience in a consumer internet business or a high-velocity, high-growth product or business unit
• Proven experience in behavior analytics tools like Mixpanel, Amplitude, Adobe Analytics, Google Analytics, etc.
• Proficient working knowledge of data mining using SQL, ETL, data warehouse as well as Excel
• Experience building dashboards, reports, or tools through technologies such as Metabase, Tableau, Looker, etc.
• Experience in statistics (e.g., hypothesis testing, product experimentation, regressions).
• Experience working with large data sets
• Excellent writing and critical analytic thinking
• Proven problem-solving skills concerning unstructured, uncertain problems
• Ability to dive deep and demonstrate attention to detail

Bonus

• Technical background and programming experience–especially R or Python
• Experience with product design or product wire-framing tools
• Experience with software development/coding and working closely with software engineers