How much experience is required?

2–3 years of relevant experience for this Data Analyst role.

What's the tech stack?

Joblaze extracted these technologies from the posting: SQL.

What seniority level is this role?

Stripe targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Data Analyst role at Stripe.

Data Analyst at Stripe

Joblaze summary

In the Data Analyst role at Stripe, the individual will collaborate with various teams to extract insights from complex data, build metrics, and create dashboards that inform business decisions. Proficiency in SQL and experience in managing multiple projects are essential, along with the ability to communicate findings effectively. This position is ideal for candidates with a background in data analysis or business intelligence, particularly those who have worked in growth-stage tech companies. The role offers a chance to contribute to impactful initiatives within a dynamic data science community.

Joblaze insights

Listed about 3 months ago on Joblaze — tracked directly from Stripe's career page.
Stripe has 576 other open roles including Android Engineer, Dev Productivity, Partner Solutions Architect (AUNZ), Deal Pricing.
1173 active SQL roles on Joblaze right now.
Typical SQL salary we track runs $110,104–$192,000 (median $151,676, across 618 roles).

Quick facts

How much experience is required?: 2–3 years of relevant experience for this Data Analyst role.
What's the tech stack?: Joblaze extracted these technologies from the posting: SQL.
What seniority level is this role?: Stripe targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Analyst role at Stripe.

From the original posting

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you'll 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'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

MS/MA + 2 years or BS/BA + 3 years of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles
Proficiency in SQL
Proven ability to manage and deliver on multiple projects with great attention to detail
Ability to clearly communicate results and drive impact
Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities

Preferred qualifications

Prior experience at a growth-stage internet or software company
Experience with distributed data frameworks like Spark to write and debug data pipelines
Good understanding of development processes and best practices like engineering standards, code reviews, and testing
Strong statistical knowledge
Working knowledge of Python
Experience creating leadership-level reporting, such as QBRs, MBRs
Proficiency with AI tools to accelerate model development, analysis, and coding