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Data Analyst, GTM Analytics

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 within Stripe’s GTM Analytics team, a team of diverse data analysts that support Stripe’s Go-to-Market and Marketing organizations. You will leverage Stripe’s vast data to enable business partners within our GTM Operations and Sales organizations to define, measure, and observe metrics and insights that support the company’s mission of growing the GDP of the internet. 

What you’ll do

In this role, you will partner deeply with teams across GTM to provide support for enabling our partners across sales and GTM operations teams to make smart business decisions. 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.

Responsibilities

  • Partner closely with GTM Operations and Sales partners to scope high-impact projects, including deep dive analyses, dashboarding, and defining new metrics that provide visibility and explainability into Stripe's business performance and drive measurable improvements in key outcomes
  • Design, implement, and maintain data pipelines and dashboards to generate actionable insights about Stripe's sales performance, including the impacts of professional services, customer success, and other sales-adjacent teams
  • Collaborate with cross-functional teams to deliver strategic insights, benchmarks, and analyses that guide decisions for fiscal year planning, including customer segmentation, territory modeling, target setting, and market expansion strategies
  • Build and maintain executive reporting for Stripe's GTM leadership to be leveraged in ongoing business reviews to monitor top company KPIs and strategic objectives
  • Enable stakeholders and partners by building self-service tooling and providing training to empower GTM teams to be data literate and self-sufficient in autonomous reporting capabilities

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 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
  • Previous experience measuring business performance of GTM and Sales teams

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
  • Previous experience supporting a sales organization, and familiarity with common GTM reporting concepts like sales funnel reporting, annual planning, and tracking against sales KPIs

**This role is not eligible for hire in the Greater Seattle Area, Greater NYC Area, or San Francisco Bay Area

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office expectations

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.

Working remotely at Stripe

A remote location 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 live 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.

Office locations

Toronto

Remote locations

Remote in United States

Team

Data & Data Science

Job type

Full time

Apply for this role 

Please find our California applicant personal information notice here.

The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

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.