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.
What you’ll do
The Volume Forecast Specialist is responsible for developing and maintaining accurate demand forecasts to support the organization's strategic and operational planning. This role analyzes historical data, identifies trends, and applies quantitative and qualitative techniques to generate reliable volume projections across various product lines and business segments. The Volume Forecast Specialist works closely with the data science team in order to ensure forecasts align with the company's goals and objectives.
Responsibilities
- Gather and analyze relevant data from various sources, including sales, marketing, and operations, to identify patterns, drivers, and key influencing factors impacting demand.
- Develop and maintain statistical forecasting models, leveraging techniques such as time-series analysis, regression analysis, and machine learning algorithms.
- Collaborate with stakeholders across the organization to understand business needs, incorporate qualitative inputs, and refine forecasting assumptions.
- Regularly review and update forecasts to adapt to changing market conditions, new product launches, and other relevant factors.
- Identify and mitigate potential risks and uncertainties in the forecasting process, providing contingency plans and scenario analyses.
- Communicate forecast insights, recommendations, and performance analyses to management and cross-functional teams.
- Champion the use of data-driven decision-making throughout the organization, educating and training teams on best practices in demand forecasting.
- Continuously optimize forecasting methodologies and processes to improve accuracy and efficiency.
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
- Bachelor's degree in a quantitative field, such as statistics, operations research, or economics, or an equivalent combination of education and experience.
- 6+ years of experience in demand forecasting, supply chain planning, or a related analytical role.
- Strong proficiency in statistical analysis, data modeling, and forecasting techniques, with hands-on experience using related software tools (e.g., Excel, SQL).
- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Strong communication and stakeholder management skills, with the ability to present findings and recommendations effectively.
- Familiarity with customer support operations, inventory management, and business planning processes.
- Adaptability and the ability to work in a fast-paced, dynamic environment.
