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

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 a month ago on Joblaze — tracked directly from Stripe's career page.
Stripe has 511 other open roles including Product Designer, Internal Tools, Full Stack Engineer, Growth, Partner Development Manager.
1036 active SQL roles on Joblaze right now.

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

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 will work with some of Stripe’s most fundamental and exciting data, 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 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.

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, 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.