Data Analyst, GTM Analytics

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<h2><strong>Who we are </strong></h2> <h3><strong>About Stripe</strong></h3> <p><span style="font-weight: 400;">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.</span></p> <h3><strong>About the team</strong></h3> <p>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. </p> <h2><strong>What you’ll do</strong></h2> <p>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.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>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</li> <li>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</li> <li>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</li> <li>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</li> <li>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</li> </ul> <h2><strong>Who you are</strong></h2> <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><strong>Minimum requirements</strong></h3> <ul> <li>2-8+ years experience in Business Intelligence 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> <li>Previous experience measuring business performance of GTM and Sales teams</li> </ul> <h3><strong>Preferred qualifications</strong><span style="font-weight: 400;"> </span></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> <li>Previous experience supporting a sales organization, and familiarity with common GTM reporting concepts like sales funnel reporting, annual planning, and tracking against sales KPIs</li> </ul> <p>**This role is not eligible for hire in the Greater Seattle Area, Greater NYC Area, or San Francisco Bay Area</p>

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1. HOW DO YOU PLAN YOUR DAY?

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