CURRENT OPENINGS

Data Analyst - Schaefer City Technologies

Schaefer City Technologies is a pioneering insurtech start up that is developing software solutions for insurance companies to identify, manage, and reduce the risk of Nuclear Verdicts®. Our innovative software is saving the insurance industry – and the public – billions of dollars. Schaefer City Tech is a virtual company, and this position is remote.

Job Description
Reporting to our Chief Data Scientist, the best candidate for our DATA ANALYST role is a sharp person who is infinitely curious when it comes to leveraging data to solve product and business problems. This person must be able to build positive relationships in a remote working environment.

Our next Data Analyst will be a member of a team and will spend the day-to-day tackling analytical questions and monitoring metrics. In order to succeed, this candidate will need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.

Position Responsibilities

  • Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
  • Conduct A/B testing on our flow and processes to build cutting edge, innovative software solutions
  • Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
  • Extract and analyze data using different data platforms (Snowflake, Python, etc.)
  • Present key findings to stakeholders across the company in order to drive business and product decisions

Position Requirements

  • 3+ years’ experience as a data/product/business analyst, preferably within a a startup environment
  • Degree in Industrial Engineering,  Mathematics, Statistics, or a related field
  • Experience working with SQL
  • Experience working with BI tools (Looker, Tableau, PowerBI, etc.)
  • Data-driven, familiar with A/B testing best practices, and adept at working with large data sets
  • Comfortable working with product managers, as well as data engineering and data science teams, and proficient in presenting technical information in English
  • Ability to work remotely most of the time with the willingness to work in an office environment occasionally

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