GTM Strategy and Planning Analytics Lead
To see similar active jobs please follow this link: Remote Management jobs
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
The Go to Market (GTM) Planning team works at the intersection of corporate planning, GTM Strategy, Product, GTM and Regional Strategy and Operations with responsibility for ensuring that we land the Stripe annual rhythm in a smooth and timely manner. This entails 2 main pillars:
Building and landing foundations for next cycle
Ensuring budgets, territories, targets, comp plans, reporting and enablement are delivered to GTM in a timely manner
What you’ll do
We are seeking a technically sophisticated and detailed oriented individual who will serve as GTM Strategy and Operations Analytics Lead for the GTM Planning organization. This person will be responsible for improving the quality of sales analytics and insights on a consistent basis, specifically with the focus on supporting Segmentation, Headcount Investment process, Territories design, and Target allocation modeling.
Responsibilities
GTM Planning: Design and execute on a standard cadence of operations which drive future changes, process improvements, and planning of the Go to Market (GTM) organization
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
Program /Process Management: Independently develop and manage project or program plans to support key stakeholders and core operational planning processes. Manage GTM wide operational processes such as segmentation, sales territory building, target and quota setting, and build supporting analytical models
Scalable Insight: Conceptualize, build, manage and maintain centralized tools (including dashboards) that the business and GTM Planning and cross-functional teams can use to extract data / insights for daily business management in an automated manner and drive current and future rhythms of business
Oversee implementation of enabling systems and tools, working closely with internal systems teams
Productivity and resource management: Collaborate with our Finance and Strategy team in modeling our GTM productivity, informing resource allocation and optimisation for the GTM organization
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
7+ years of work experience in business operations, finance, data science, investment banking or business analytics
Advanced SQL and Excel modeling experience
Experience initiating and completing analytical projects with minimal guidance, taking a structured approach to solving unique business problems
Has a “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.
Working knowledge of statistical frameworks and classical data exploration techniques
Preferred qualifications
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
About the job
GTM Strategy and Planning Analytics Lead
To see similar active jobs please follow this link: Remote Management jobs
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
The Go to Market (GTM) Planning team works at the intersection of corporate planning, GTM Strategy, Product, GTM and Regional Strategy and Operations with responsibility for ensuring that we land the Stripe annual rhythm in a smooth and timely manner. This entails 2 main pillars:
Building and landing foundations for next cycle
Ensuring budgets, territories, targets, comp plans, reporting and enablement are delivered to GTM in a timely manner
What you’ll do
We are seeking a technically sophisticated and detailed oriented individual who will serve as GTM Strategy and Operations Analytics Lead for the GTM Planning organization. This person will be responsible for improving the quality of sales analytics and insights on a consistent basis, specifically with the focus on supporting Segmentation, Headcount Investment process, Territories design, and Target allocation modeling.
Responsibilities
GTM Planning: Design and execute on a standard cadence of operations which drive future changes, process improvements, and planning of the Go to Market (GTM) organization
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
Program /Process Management: Independently develop and manage project or program plans to support key stakeholders and core operational planning processes. Manage GTM wide operational processes such as segmentation, sales territory building, target and quota setting, and build supporting analytical models
Scalable Insight: Conceptualize, build, manage and maintain centralized tools (including dashboards) that the business and GTM Planning and cross-functional teams can use to extract data / insights for daily business management in an automated manner and drive current and future rhythms of business
Oversee implementation of enabling systems and tools, working closely with internal systems teams
Productivity and resource management: Collaborate with our Finance and Strategy team in modeling our GTM productivity, informing resource allocation and optimisation for the GTM organization
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
7+ years of work experience in business operations, finance, data science, investment banking or business analytics
Advanced SQL and Excel modeling experience
Experience initiating and completing analytical projects with minimal guidance, taking a structured approach to solving unique business problems
Has a “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.
Working knowledge of statistical frameworks and classical data exploration techniques
Preferred qualifications
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.