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.


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



  • 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

Get to Know: Bear Analytics


Bear Analytics is a boutique data agency specifically focused on associations, professional societies, and event organizers. Since launching in 2013, we have worked with over 20 organizations to make sense of the data they are already collecting and to turn that data into an incredibly actionable tool. We believe data is great, and when it works for you, it’s a beautiful thing.

As of mid-October 2015 the Bear Team will be located at 1776 in Crystal City, where we’ll work alongside some of the DMV’s most innovative start- up companies. Come join us, we’d love to learn more about you!


Now Hiring For:

Data Analyst


We’re looking for someone who understands the fundamentals of data – bonus points if you’ve worked with event, social media, or app data before. The ideal future Bear will be an active contributor to the full cycle of client engagement, from data collection, consolidation and cleaning, to analysis, visualization and, finally, client consumption and presentation. We’re constantly innovating – over the course of the last two years we’ve developed proprietary methods to measuring engagement and event health. We’re looking for someone who will be responsible for adhering to our analysis framework, but also for conducting independent analyses, troubleshooting, and innovating to improve our data engines and client outcomes.

If you’re interested in working in a fast-paced, entrepreneurial environment where you can make a difference – let’s do this.

Also – we never wear suits. Think about it.

DEGREE TYPE: Undergraduate, Graduate


  • Interest, history, and drive to analyze and manipulate diverse data sets
  • Intermediate to advanced skills in R or Python
  • Need to be an Excel ninja at a minimum
  • Has a nose for data – we’re looking for someone with top-notch analytical skills, and a real intuition. It’ll help if you’re a natural problem-solver, both independently and collaboratively
  • Experience manipulating and visualizing complex data in Excel and Tableau
  • Fluency with statistics and mathematical modeling theories
  • Effective communication skills, both written and verbal
  • Please note: Authorization to work in the U.S is a precondition of employment for this position with Bear Analytics. Employment visas are not being sponsored for this position.


We are a very close-knit team, and it’s important that our next team member is the right fit, both for us and for you! The Data Analyst will be given an initial trial period as a contract employee, and if the work experience meets our mutual expectations, a full-time offer will be extended at Bear’s discretion.

Time Commitment: Full Time – we don’t count hours.

Compensation: Paid (Hourly first – then salary once you’re full-time)

Benefits: Relaxed, casual office atmosphere, MetroBenefits, and retirement match


We have had the privilege to receive over 100 submissions for our first internship, and expect that demand for this role may follow suit. In the spirit of fairness in evaluating all candidates, we ask that you do the following:
Submit your resume and cover letter to [Submissions without cover letters will not be considered – we need to know why you want to build something with us!]
If there’s a matching vibe, we’ll be in touch and bring you in for the interview process and to meet the team.