Data Analyst
Chicago
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.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
Our team is a part of Strategy & Analytics (S&A), which maximizes and accelerates Operations' ability to make Stripe work for our users. We work cross-functionally with global teams to help run the day-to-day business, taking a data-driven approach that combines strategy and analytics to help Ops leaders solve their most complex and most important issues while also driving the business planning and operational cadence end-to-end, from strategy to goal-setting to execution.
What you’ll do
We are seeking a Data Analyst to drive and enable business performance in Ops’ Strategy & Analytics team. In this role, you will be a critical partner in driving data-driven decision making across Stripe Operations. You'll work closely with cross-functional, technical stakeholders to identify and address their most impactful challenges using data and analyses. You'll own the development and implementation of experiments, key metrics, ML models, and data pipelines, ensuring the foundational systems in Stripe Operations are robust, high-quality, and reliable. You'll work hand-in-hand with partner teams in Data Science, Product, and Engineering to implement data-driven solutions that optimize our processes and tools. Acting as a technical expert and bridge between the Strategy and Analytics team and our operational partners, you'll champion the use of data to inform high-impact projects and initiatives.
If you are incessantly curious, eager to solve big data challenges, relentless, passionate about helping users, and interested in diving into a quickly-growing team and company, we want to hear from you.
Responsibilities
- Work closely with cross-functional, technical stakeholders - helping them identify and address their most impactful challenges with data and analyses
- Own the development and implementation of Operations metrics, pipelines & data sources
- Incubate machine learning models, and partner with Data Science for their productionization
- Partner with Operations and Engineering teams on the implementation of high impact data projects, championing data driven decision making
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
- 5+ years of experience in analytical roles
- Mastery of SQL and a strong understanding of data relationships / relational databases, experience working with large datasets.
- Proficiency in Scala, Python, or another programming language
- Strong statistical knowledge
- Proven skills in A/B testing, experiment set-up, and analysis
- Experience with applied machine learning techniques
- Expertise using data insights to drive business and operational goals - outstanding analytical ability, communication, and presentation skills
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
Preferred qualifications
- Prior experience at a growth stage internet or software company.
- Experience with Git or similar
- Experience with Scala Spark
- Experience with Airflow
- 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.
- Experience working in fast-paced environments
- Experience in people management or project management of cross-functional projects
Hybrid work at Stripe
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
Pay and benefits
The annual US base salary range for this role is $121,800 - $182,700. 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. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
We look forward to hearing from you
At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.Tags: A/B testing Airflow Big Data Data Analytics Data pipelines Engineering Git Hadoop Machine Learning ML models Pipelines Python RDBMS Scala Spark SQL Statistics Testing
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Home office stipend Salary bonus Startup environment Team events Wellness
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