Analytics Manager / Data Scientist

Location: Washington, DC Metro Area

Company: (Undisclosed)

Job Requisition Code: P-02

We are looking for an analytics manager to help us turn data insight into business strategy! The right candidate will have deep analytic expertise in extracting, cleaning, and modeling data to identify opportunities for improved customer acquisition, retention, and engagement.

RESPONSIBILITIES

Testing Pipeline

  • Brainstorm / gather hypotheses on customer facing tests
  • Model potential impact to prioritize product tests
  • Track test results, leading testing meetings to ensure clear communication
  • Make recommendations on go/no-go decisions for rolling out test more broadly based on analysis / feedback, determine additional testing that may be warranted
  • Make recommendations on go/no-go decisions for rolling out test more broadly based on analysis / feedback, determine additional testing that may be warranted
  • Manage learning library to document test impact

Marketing Analysis & Modeling

  • Own core customer models, including evolving methodology as operations or goals dictate, updating assumptions over time, and validating against actual results.
  • Own Unit Economics and Marketing Efficiency (by marketing channel, paid/organic sources)
  • Build and own a Customer Lifetime Value model (by plan type)
  • Build and own Cash Forecasting model based on Retention, New Customer Acquisition
  • Build dashboards and reports to surface data at the time of acquisition to improve the efficiency of our marketing efforts

Content and Product Analysis & Modeling

  • Build core KPIs around user engagement, establishing targets and benchmarks
  • Web engagement analysis via Google Analytics
  • Determine correlations between engagement KPIs and NPS scores with user retention
  • Identify actions correlated with churn and test strategies to abate churn (segment based)
  • Support Content team in their acquisition strategy by looking at null search results, customer engagement by content type and other analyses linked to content library

 

DESIRED EXPERIENCE

  • 3+ years of e-commerce / digital media analytics experience with demonstrated track record of manipulating large, complex data sets and using them to build sophisticated models
  • Expertise with advanced analytics software (more than just basic SQL experience), such as R, SAS, Stata, Python, SPSS, or other analytics tools
  • Experience with advanced statistical modeling techniques, including multiple regressions and machine learning models
  • Strong analytical skills and comfort breaking down and attacking open ended problems
  • Attention to detail and ability to manage tasks in a fast-paced technology-oriented environment
  • Desire to contribute to the hyper-growth and culture of a successful technology company