Data Analyst


New York City, NY, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 06/02/2021
  • Website:
  • Company Address: 50 W 23rd St Floor 9, New York, NY, 10010

About Policygenius

Policygenius is America's leading online insurance marketplace. Our mission is to help people get insurance right by making it easy for them to understand their options, compare quotes, and buy a policy, all in one place.

Job Description

Data Science at Policygenius...

Policygenius continues to disrupt the insurance industry by delivering innovative technology-driven experiences. We are advancing our tech capabilities and learning to leverage our hordes of data to develop innovative machine learning applications. We are relentless in our drive to reliably deliver outstanding products at scale. We are growing fast, but we can go further faster with experienced, collaborative, challenge-seeking analysts like yourself.

Our data team serves Policygenius through data engineering, data analysis and data science. Our goal is to help uncover opportunities and make decisions with data. We partner with Product, Design, Engineering, Marketing and numerous stakeholders across the company to develop deeper predictors of behavior and build solutions to optimize our internal and external experiences.

In this role, you will…

  • Work collaboratively with the product team and assist them on the three fronts of analytics: monitoring and measurement, research and experimentation and help drive the analytics roadmap.
  • Drive analytical projects such as product feature discovery, user segmentation/ targeting strategies and product vision strategies
  • Help our teams move beyond visualizations and utilize inferential and causal modeling to uncover deeper trends from a quantitative perspective, and design and test interventions
  • Create visualizations intended to monitor business performance or uncover interesting trends to investigate
  • Lead the test and learn process we use for exploratory data analysis and A/B testing. This includes helping stakeholders decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results 
  • Partner with data engineering on new data pipelines and ingestion requests as well as advise on data model improvements 
  • Wrangle and stitch together many disparate data sources and uncover deep insights to drive your team forward

We’d love to hear from you if…

  • You have 1 - 3 years of analytics/ product analytics experience focused on analyzing data centered around user behavior, customer segmentation and product feature evaluation. 
  • You have experience consolidating data from various data sources and familiarity with events tracking management
  • You are proficient with analytics platforms and code in R or Python, use SQL/relational cloud databases efficiently
  • You understand basic statistics and base models such as linear and logistic regression and segmentation methods and time series analysis
  • You have experience with web analysis such as creating product funnels, user behavior, and paths
  • You have an understanding of business metrics such as CAC, LTV, Conversion Rates and can apply them to your decision making and prioritization as well as creating and managing analysis frameworks
  • You are well versed with product techniques, product discovery process and product metrics such as cohort analysis, funnel analysis and experimentation.You have experience with relational cloud databases like Redshift, BigQuery, Snowflake, but also comfortable working with unstructured files and datasets

You can expect...

  • Company-paid health, dental, vision, life & disability insurance
  • 401(k) plan, FSA & commuter benefits
  • Generous PTO 
  • Training, mentorship and coaching from leadership
  • The opportunity to grow alongside a company shaking up a big, old-fashioned industry
  • Fun, diverse, open-minded coworkers
  • Dog companionship!!!

Technologies You Will Use

  • Python or R for machine learning algorithms and analysis. 
  • Google Cloud Platform: Kubernetes, Cloud SQL, Cloud Functions, PubSub, BigQuery, DataStore, and more: we keep adopting new tools as we grow!
  • Airflow for data pipelining. 
  • Tableau for data visualization and consumer facing dashboards. 
  • Many more to come!

About Policygenius

Policygenius is America’s leading online insurance marketplace. Since 2014, our mission has been to help people get the financial protection they need (and feel good about it). We make it easy for our customers to understand their options, compare quotes, and buy insurance, all in one place. To date, we’ve helped more than 30 million people shop for all types of insurance and placed over $45 billion in coverage.

At Policygenius, we’re proud of building an environment that encourages our teammates to bring their authentic selves to work. Despite rapid growth (we’ve doubled in size year over year!), we’ve continuously maintained our inclusive culture through humility, hard-work, and humor, and we’re looking for more people with grit, collaborative attitudes, and creative problem-solving skills to join our team. Come see why we’ve been voted one of Inc. Magazine’s “Best Workplaces” two years in a row!

Diversity at Policygenius

Policygenius believes differences should be celebrated and is committed to building a team as diverse as the customers we serve. We welcome different perspectives and opinions to foster innovation, authenticity, and excellence across all parts of our company, and are committed to providing employees with a work environment free of discrimination and harassment.

As an Equal Opportunity Employer, Policygenius highly encourages applicants from all walks of life. All employment decisions at Policygenius are based on business needs, job requirements and individual qualifications without regard to actual or perceived race, color, sex, pregnancy,  sexual orientation, gender identity or expression, age, national origin, political affiliation or belief, religion, disability, uniformed service, marital status or any other status protected by law.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.