Responsibilities
- Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals
- Develop frameworks and scalable processes to drive decision-making and prioritization
- Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
- Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
- Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
- Monitor and diagnose KPI performance and present findings to senior leadership
Experience
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
- 2+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
- Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
- Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
- Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
- Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources
Compensation
Expected base pay range in the New York City area: $118,000 - $147,500 USD, not inclusive of equity, bonus, or benefits.