Data Analyst, Stripe

$103.2-220.3k

SQL
Python
Hadoop
Spark
Junior, Mid, Senior and Expert level
Remote in US
Chicago
New York
San Francisco Bay Area
Stripe

A financial infrastructure platform for businesses

Open for applications

Stripe

A financial infrastructure platform for businesses

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Open for applications

$103.2-220.3k

SQL
Python
Hadoop
Spark
Junior, Mid, Senior and Expert level
Remote in US
Chicago
New York
San Francisco Bay Area

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Company mission

To increase the GDP of the internet

Role

Who you are

  • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights

Desirable

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
  • Prior experience at a growth stage internet or software company
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing

What the job involves

  • In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly
  • You will work closely with partners to extract insights from Stripe's rich and complex data
  • You will also work with leaders to translate business needs into data problems
  • You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business
  • You will deliver actionable business recommendations through analyses and data storytelling

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Insights

Top investors

-5% employee growth in 12 months

Company

Company benefits

  • Unlimited paid time off policy
  • Work from home opportunities
  • Comprehensive mental, physical and medical health plans
  • Fertility benefits and parental leave

Funding (last 2 of 13 rounds)

Mar 2023

$6.5bn

GROWTH EQUITY VC

Mar 2021

$600m

SERIES H

Total funding: $8.7bn

Our take

Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payments option in their apps or websites, where before there was none.

More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.

To further expand its position, the company is looking to triple its presence in Ireland, and extend its services to countries with vast customer potential, including Brazil and India. Its latest venture, coming atop significant new funds, is to partner with OpenAI, the company behind ChatGPT - a win-win collaboration that will monetize OpenAI’s flagship products and at the same time enhance Stripe with GPT-4, as it moves forwards with intentions to "build the payments foundation for tomorrow's AI economy."

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Freddie

Company Specialist at Welcome to the Jungle