Business Analyst - Class of 2022 - job 2 of 2

We’d love to hear from you if you are looking for a tech company with the following:

• Huge market ($2T billion market size), we are building the first AI-powered super app to help people owning a car

• Innovative product with the combination of cutting edge mobile, AI, and big data technologies

• Start-up energy - come join one of LinkedIn’s Top 50 Tech Start-ups

• Hypergrowth - 17x revenue growth in the past two years

• Best user experience: #1 ranked app in the insurance comparison category

• Strong leadership: from Amazon, Microsoft, Facebook, Nvidia, Alibaba, etc. and rockstar colleagues

About the Opportunity:

The Data and Analytics (DNA) team owns data at Jerry and drives intelligent business decision-making through analytical insights and advanced models. The DNA team is seeking a business analyst to build analytical insights and drive business decisions.

As a business analyst, you use data to tell stories and make actionable recommendations to help the business. You will join a team of data engineers, data analysts and data scientists. We are passionate about our mission to build a car ownership super app. We work hard and we also like to have fun.

How you will be contributing:

• Transform and refine raw production data for analytical needs

• Develop reports, visualization, and business insights using data

• Perform deep-dive analysis on business opportunities and challenges

• Partner with other analysts and scientists to build analytical models

About you:

• Bachelor’s degree in Mathematics, Statistics, Economics, or a related quantitative discipline

• Hands-on experience and intermediate knowledge of SQL

• Excellent communication and problem-solving skills

A few more specifics about you:

• Master’s degree in Mathematics, Statistics, Economics, or a related quantitative discipline

• 1+ years of relevant experience in an analytical role

• Hands-on experience with ETL and data warehouse

• Knowledge of a modern programming language (Java, Python, etc.)

• Experience with analytical and visualization platforms (Tableau, Qlik, Power BI, etc.)

• Strong written communication and data presentation skills