Analytical Lead

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Stripe

📍Remote - United States

Summary

Join Stripe's Global GTM Operations team as a Sales Strategy and Operations Analytical Lead. You will be responsible for enhancing the quality of sales analytics and insights, standardizing reporting, and ensuring scalability across the AMER region. Collaborate with sales leadership and business partners to drive operational cadence and strategic planning. Analyze sales and revenue data to build models and provide actionable recommendations for annual planning. Work with Finance and Strategy teams on GTM productivity modeling and resource allocation. Develop and manage project plans, and build and maintain centralized tools for data extraction and insight generation. Effectively communicate insights and recommendations to influence strategic decision-making. This role requires strong analytical skills, a user-first mindset, and experience presenting technical content to non-technical audiences.

Requirements

  • 6+ years of work experience in B2B sales strategy and operations and/or business analytics, business strategy/operations, data science, investment banking, management consulting, and/or related domains
  • Strong analytical skills, business intuition and a structured approach to solving complex business problems
  • User-first mindset: Ability to work proactively and collaboratively with stakeholders, particularly in clearly communicating data insights and takeaways
  • Has an enthusiastic “roll up your sleeves” mentality. Pragmatic problem solver, with a bias to action and “getting things done”. Passionate about driving business outcomes and change at the ground level
  • Experience presenting technical content to non-technical audiences and leadership. Courageous communicator translating business insights into practical recommendations
  • Experience initiating and completing analytical projects with minimal guidance, taking a structured approach to solving unique business problems
  • Experience in Salesforce (or other CRM). Advanced SQL and Google Sheets modeling skills. Experience working with large data sets, especially in analyzing large imperfect data sets to creatively solve problems and creating scalable reports and dashboards or ad-hoc analysis

Responsibilities

  • Operating Cadence: Design and execute on a standard weekly, monthly and quarterly cadence of operations (weekly forecasting calls, monthly business reviews)
  • Business Insights: Develop deep understanding of Stripe’s business and its sales funnel across user segments and geographies. Monitor the progress, health, and sustainability of the overall strategy.  Provide actionable insight and strategic perspective on business performance to help inform key decisions across GTM teams. Effectively communicate insights and recommendations to business leads and influence strategic decision-making
  • Strategy / Planning: Analyze AMER sales and revenue data, metrics to build models and provide actionable recommendations to shape the strategy during the annual planning process (resource planning, territory design, target/quota setting and management)
  • Productivity and Resource Management: Collaborate with our Finance and Strategy teams in modeling our GTM productivity,  informing resource allocation and optimisation for the sales organization
  • Program /Process Management: Independently develop and manage project or program plans to support key stakeholder asks and core operational planning processes. Manage AMER wide operational processes and programs such as sales territory building
  • Scalable Insight: Conceptualize, build, manage and maintain centralized tools (including spreadsheet models, dashboards) that the business and Sales Strategy and Operations team can use to extract data / insights for daily business management in an automated manner to drive current and future rhythms of business. As a result of insights, identify and improve the usability and accessibility of insights from existing systems and tools, in collaboration with respective development teams

Preferred Qualifications

Experience in Python and proficiency in BI visualization tools (e.g., Tableau)

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