Lead complex analyses that answer high-impact business and product questions, using strong statistical thinking, modeling, and sound analytical judgment.
Create clear approaches to ambiguous problems by defining the right methodology, identifying the required data, and delivering actionable insights that drive decision-making.
Assess the business impact of product changes, recommendation systems, experiments, and other strategic initiatives, including ROI, forecasting, and performance measurement.
Work closely with Product, Engineering, and other cross-functional partners to shape priorities, influence decision-making, and communicate findings clearly and compellingly.
Mentor other analysts through technical guidance, collaboration, and shared best practices that raise the quality of analytics across the team.
Requirements
Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a similar field
7+ years of experience using analytics to solve business or product problems
Strong statistical analysis skills and hands-on experience with Python and SQL
Experience with experimentation, analytical methods, and data-driven problem solving
Ability to break down complex questions and communicate insights clearly to technical and non-technical stakeholders
Bonus Points:
Master’s degree or PhD in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a similar field
Experience in influencing cross-functional decisions
Strong business judgment and the ability to connect analytical work to company goals
Tech Stack
Python
SQL
Benefits
Fair and competitive base salary
Fully Remote Optional
Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
Long & Short term disability insurance
Unlimited PTO
Annual Year-End Company Closure
Optional 401k with 5% matching
12 Paid Holidays
Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
Employee Assistance and Employee Recognition Programs