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We’re hiring a

Data Analyst, Lifetime Value

Remote (Columbus, OH)

The position. 
We believe a large part of building an effective insurance company can be solved with a principled quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.

The Lifetime Value (LTV) team creates models that predict conversion, retention, and loss cost. The team also builds and maintains tools that bring these models together to predict the lifetime value (and other related key metrics) of Root customers. We are looking for a Data Analyst to work closely with our Data Scientists to increase the maturity of our model development lifecycle through iterative improvements to both pre-and post-deployment analytics. You'll help to validate and improve our data sources while assisting our data scientists in developing deeper insights and understandings across various analytical projects, identifying trends and impacts across our data. You'll also be a part of building critical LTV KPIs, helping a wide range of stakeholders stay up-to-date on what's happening.
The ideal candidate will have deep analytical and business acumen, strong programming skills, and high quantitative aptitude.

What you’ll be doing.

  • Generate and interpret descriptive statistics to make business recommendations.
  • Validate and improve core LTV data strategies.
  • Standardize and automate the analytics pipeline for use across the LTV organization.
  • Analyze large datasets to derive key insights into the lifetime value of our Root customers.
  • Develop and maintain the key documents and dashboards on core LTV models.
  • Establish standard reporting to share with key stakeholders.
  • Monitor a suite of dashboards and metrics through manual and automated means, diving deeper and/or notifying stakeholders as makes sense if results do not look as expected.

What we’re looking for.

  • 2+ years of experience in data analytics in a business or academic environment.
  • Strong programming skills, Python preferred.
  • Advanced skills in SQL with the ability to write complex and optimized queries.
  • Intermediate to advanced skills in Tableau or a similar dashboarding tool.
  • Experience with predictive modeling and model diagnostics.
  • Knowledge of basic statistical techniques.
  • Analytical mindset, with strong problem solving and critical thinking skills.
  • Exceptional communicator and storyteller.

Get In Touch

Finding the right people to help us build Root is a top priority. Whether you would like to explore the possibility of working together or simply learn more about the position, we’d love to hear from you!

Apply now

Join us

At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.

Who we are

We’re harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative FinTech companies in the world. And we’re just getting started.

What draws people to Root

Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you’ll hear similar reasons for why they joined:

Autonomy—for assertive self-starters, the opportunities to contribute are limitless. Impact—by challenging the way it’s always been done, we solve problems that have a big impact on our business. Collaboration—we encourage rich discussion and civil debate at every turn. People—we are inspired by the collection of crazy-smart people around us.

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Root Inc.

80 E. Rich Street

Suite 500

Columbus, OH 43215

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