Senior Analyst – Finance and Strategy

As a Finance and Strategy Senior Analyst, your day-to-day job will be to help business leaders make sound business and financial decisions. You will need to have a deep understanding of our customers and business drivers, allowing you to help steer Hopper’s growth and product strategy. To succeed in this role, you need to be able to understand the big picture, while also being unafraid to dive into the details and numbers. You will also need to use SQL daily to independently obtain data and support data driven decisions.

Responsibilities:

• Provide quantitative analysis, business understanding and strategic insights to help Hopper make smart, data-driven decisions
• Own product level profit and loss reporting to senior management and executives
• Develop statistical forecasts for revenue at both a product and company-wide level
• Demonstrate competency and ownership of nuanced SQL code used to compile underlying revenue and COGS tables, with deep understanding of processes and sources associated with them
• Work with multiple areas of the business to accurately reflect recent trends in all modeling and financial reporting
• Collaborate with key stakeholders across Hopper in a fast-paced, collaborative environment
• Identify and help lead initiatives to improve forecasting, processes, and methodologies
• Master SQL / Big Query to be able to proactively access, manage and gain insights directly from data

The Perfect Candidate Has:

• A degree in Business, Strategy, Finance, Math, Statistics, Economics, or other quantitative discipline
• 3-5 years of experience in a quant or analytical role
• Entrepreneurial spirit, ability to work autonomously
• Technology industry experience is a plus
• Strong analytical and creative problem-solving skills
• Experience in an FP&A team
• Experience with statistical forecasting
• Experience with SQL, expertise a plus
• Microsoft Office/Google Suite proficiency, ideally Data Studio dashboards
• Enthusiasm and curiosity for conducting research and answering hard questions with data