Data Analyst

Job Description

<p><p>Join to apply for the <b>Data Analyst</b> role at <b>Stripe</b></p>
<h3>About Stripe</h3>
<p>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.</p>
<h3>About the Team</h3>
<p>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.</p>
<h3>What You’ll Do</h3>
<p>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, translate business needs into data problems, build metrics, scalable data pipelines, dashboards and reports to inform and run the business, and deliver actionable business recommendations through analyses and data storytelling.</p>
<h3>Who You Are</h3>
<p>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.</p>
<h3>Minimum Requirements</h3>
<ul>
<li>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</li>
<li>Proficiency in SQL and Python</li>
<li>Strong statistical knowledge</li>
<li>Expertise in visualization and using data insights to make recommendations and achieve goals</li>
<li>Proven ability to manage and deliver on multiple projects with great attention to detail</li>
<li>Ability to clearly communicate results and drive impact</li>
<li>Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data‑driven insights</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field</li>
<li>Prior experience at a growth‑stage internet or software company</li>
<li>Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines</li>
<li>Good understanding of development processes and best practices like engineering standards, code reviews, and testing</li>
</ul>
<h3>In‑Office Expectations</h3>
<p>Office‑assigned Stripe employees in most locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, employees in our Bucharest, Romania site have an 80% in‑office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Some teams have greater in‑office attendance requirements, discussed by the hiring manager. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.</p>
<h3>Pay and Benefits</h3>
<p>The annual salary range for this role in the primary location is CA$121,100 – CA$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.</p>
<h3>Seniority Level</h3>
<p>Mid‑Senior level</p>
<h3>Employment Type</h3>
<p>Full‑time</p>
<h3>Job Function</h3>
<p>Information Technology</p>
<h3>Industries</h3>
<p>Software Development, Financial Services, and Technology, Information and Internet</p></p>
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