FabFitFun is looking for a Data Analytics Intern to join our data-driven culture, to help us make informed business decisions this Summer 2020! In this role, you will help source data, and analyze the business impacts of various initiatives in partnership with many groups, mainly focused on Finance and Accounting. Our ideal candidate will be detail-oriented, a strong communicator, incredibly curious, and technically capable with a desire to discover and deliver data-driven business insights. We are looking for Senior level students pursuing a BS, MS, or PHD in Statistics, Engineering, Economics, that will be graduating in 2021. 

What We’re Like:

• A collaborative learning culture: we work as a team to figure out solutions to the technological challenges of the day
• We focus on improving our customer’s experience every day, all the while taking the time necessary to make sure we do things the best we can
• We celebrate innovation and want every employee at FFF to have the power to experiment and find novel, effective solutions

What You’ll Do:

• Perform analyses and build reports using Looker/Tableau and other reporting tools that will drive business outcomes, specifically for our Finance, Accounting, and Operations departments
• Conduct ad-hoc analytics requests using the internal data warehouse in Redshift, Microsoft Excel, and Looker and Tableau
• Define reporting requirements in partnership with various teams and translate that into technical specifications to build a comprehensive analytics solution
• Prep data for analytics using SQL, Python, and/or R
• Partner with our data engineering and technical teams to ensure that our data is accurate in our databases for reporting & analysis
• Act as a trusted advisor and provide solid recommendations to business partners based on data insights

What You’ll Bring:

• Currently pursuing a Bachelor's, Master's, or PHD degree in Statistics, Engineering, Economics, or another quantitative field
• 2+ of internships or work experience in a related analytical role
• Ability to leverage SQL queries to surface data from source systems and build reports 
• Working knowledge of data visualization using Tableau/Looker or any visualization tools 
• Experience working with financial, accounting, actuarial, or e-commerce data
• Advanced skills in MS Excel, including pivot tables, formulas, and charting
• Experience working with Python, R and similar tools for data analysis a strong plus

What You’ll Get: 

• Opportunity to work on rich data sets with direct business impact
• A supportive mentorship environment where we invest in you and your growth 
• An opportunity to solve high-scale technical challenges
• Housing & competitive stipend provided
• Catered meals, kitchen stocked with great snacks and drinks
• Dog-friendly office