Stripe, LLC. 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.
What you'd do
- Support the Regional sales leaders with intelligence and insight to accelerate growth
- Support the Sales Strategy and Operations colleagues by standardizing global and regional common process that is currently decentralized
- Provide a deep dive into key performance metrics and drive deep understanding of business performance
- Problem solve and provide structure analysis outcomes for complex sales operations challenges through data, analytics and insight
- Identify new opportunities and areas of productivity efficiency gains for Regional sales leadership
- Participate in projects defining go-to-market approaches, as well as in regular business and resource planning.
- Run analysis on key performance metrics, and provide relevant insights for managing the business
- Oversee the implementation of enabling systems and tools, and work closely with internal systems teams
- Prepare weekly senior leader forecast materials and provide ongoing updates on key business growth/metrics to leadership teams; and
- Manage bespoke projects and effectively manage stakeholders.
What they want
- SQL and other advanced analytic tools to develop and run complex SQL queries and analyze large data sets
- BI visualization tools, including Tableau; and
- Working with data and large data sets to identify trends and create insights to make recommendations to senior leaders.
- Using AI to improve productivity and reduce manual processes, and automated reporting dashboards.
- Manage cross-functional stakeholders and managing expectations and timelines; and
- Working with and manipulating large data sets to deliver deep analyses and actionable insights.