Data Analyst I, Policygenius
Online insurance marketplace
Job no longer available
Online insurance marketplace
501-1000 employees
Job no longer available
501-1000 employees
Company mission
Policygenuis' mission is empowering users to understand their options, compare and contrast quotes, and buy policies, all in one insurance platform.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Traditionally consumers have stayed with one insurance provider for many years because of the hassle in comparing quotes. But in recent years, more and more consumers have headed online to compare policies. Servicing this need PolicyGenius, has built a marketplace for consumers who want to evaluate multiple insurance carriers and policies all in one place.
Insurance is a highly competitive marketplace, with global insurance premiums for 2019 worth $6.3 trillion. There are several main rivals to PolicyGenius that also provide digital insurance solutions including, SelectQuote, Health IQ, MS&AD Insurance Group and Power Corporation of Canada.
PolicyGenius most recently raised $100 million in Series D funding led by leading global investment firm KKR. As the success of Policygenius grows, there are rumours that the company is considering an initial public offering.
Starting with life insurance, PolicyGenius has gradually expanded its suite of options to include health insurance, renters’ insurance, long-term disability insurance and even pet insurance. Looking ahead they hope to broaden their consumer financial protection products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2020
$100m
May 2017
$30m
Total funding: $151.1m
Company benefits
- Flexible vacation policy
- Paid parental leave
- Dog-friendly office
- Free snacks
- 401k
- Work from home opportunities
- Health insurance
Company HQ
Flatiron District, New York, NY
Leadership
Jennifer Fitzgerald
(CEO)Jennifer graduated from Columbia Law School and worked for World Bank for 2 years, before spending 5 years at McKinsey as an Associate Principal in Financial Services. She co-founded Policygenuis in 2013, and has served as CEO ever since.
Francois de Lame
(Chief Product Officer)Francois worked as a McKinsey as a Business Analyst for 3 years before an MBA at Harvard Business School and rejoining McKinsey as a Senior Associate. He left this role in January 2014 having co-founded Policygenius to work as CPO.
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