Data Analyst at Stripe

, , Ireland -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Statistical Knowledge, Data Visualization, Data Storytelling, Project Management, Collaboration, Data Pipelines, Business Intelligence, Data Engineering, Data Products, Metrics, Dashboards, Insights, Recommendations

Industry

technology;Information and Internet

Description

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, data scientists and engineers 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 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. Preferred qualifications 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.

Responsibilities

In this role, you will partner with teams across Stripe to ensure that users, products, and business have the necessary models, data products, and insights for decision-making. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.