Data Analyst, Retention
Loot Crate was founded in 2012 around a simple idea: put the awesomeness of Comic-Con in a box. Today, we ship some of the coolest geek, gaming, and pop-culture collectibles and accessories to a subscriber base in the hundreds of thousands (with no signs of slowing down) making us one of the top subscription box services in the world! We’ve assembled an amazing team of passionate, ambitious, impossibly nerdy people who cultivate our amazing fan community, provide support of the highest caliber, and generally just sit there radiating niceness. We’re always on the lookout for fun, hard-working new people to join our team and make Loot Crate even better.
The Data Analyst will be a key member of the Retention Squad. You will measure and understand churn trends, while providing readouts on the incremental churn reduction impact of churn mitigation tactics.
Responsibilities
- Track stats related to retention reporting and churn mitigation tactics like churn rates, campaign conversion, incremental lift in stick rates
- Pull data from various sources utilizing SQL, web analytics tools, email campaign management software, etc.
- Quickly analyze experiments, A/B tests
- Go beyond absorbing and reporting data to get to the why's and the so-what's
- Must like working in a fast-paced and dynamic environment
WHAT DEFINES SUCCESS
- Work cross functionally to find every piece of data you need
- Integral in helping identify new ways to optimize customer retention at all points in a customer's lifecycle (acquisition, onboarding, active, cancellation, and churned out)
QUALIFICATIONS NEEDED
- 3-6 years of experience in an analytical role
- Have Bachelor's degree in Marketing, Economics, Finance, Psychology, Engineering, or related field required
- Ability to conduct basic statistical analysis
- Advanced Excel skills, Pivot Tables and vLookups are your best friends
- Ability to make presentations and distill complicated analysis into simple and straightforward visual presentations
- Experience in a subscription services business is preferred
- Experience with tools like SQL, Campaign Analytics, Web Analytics, mixed panel, Looker, Google Analytics
- Background in implementing an analytical process
- Experience working in cross-functional environment (Marketing, Engineering, Brand, etc) is a plus