About this role
Accountabilities:: Partner with Product teams to design pricing experiments, proactively identify opportunities for testing, and recommend next steps based on analytical findings. Analyze pricing experiments and synthesize results, clearly communicating findings and their financial impact to Product stakeholders and senior leadership. Build detailed reporting and analytical frameworks to measure pricing performance and quantify its impact on business KPIs and financial results. Monitor core KPI trends and changes, including pricing-related and broader business performance indicators, and conduct follow-up analyses to identify underlying drivers. Maintain KPI metric datasets and ensure reporting structures remain accurate, reliable, and useful for ongoing business analysis. Develop automations and AI-enabled tooling that improve reporting efficiency and enable self-service access to business insights. Work hands-on with complex SQL queries, pricing models, and business analytics to solve problems and support strategic decision-making. Requirements: 2–5 years of experience in strategic analytics and pricing analytics, including developing pricing models and analyzing pricing A/B tests. Strong understanding of experimentation principles and best practices, with practical experience analyzing A/B tests. Advanced SQL skills, including the ability to create new tables and schemas on an ad hoc basis. Strong analytical, quantitative, and problem-solving abilities, with a structured approach to investigating complex business questions. Exceptional communication and presentation skills, including the ability to translate analytical findings into clear recommendations for senior executives. Experience using and building dashboards in Looker or a comparable business intelligence platform. Highly organized and self-motivated, with strong attention to detail, efficiency, ownership, and follow-through. Bachelor’s degree required. Experience in a direct-to-consumer environment, particularly at a subscription-based company, is a plus. Python experience is a plus. Benefits: Remote-first flexibility, with the option to work from home, from a New York City office, or from anywhere in the United States. Expected salary range of $110,000–$125,000 USD. Equity participation. Unlimited vacation policy. Universal paid parental leave. Monthly credit for groceries. Comprehensive health, vision, dental, and life insurance. Wellbeing benefits. 401(k) with company match. Work-from-home stipend to support the initial home-office setup. The employer does not sponsor applicants for work visas. Commitment to an inclusive workplace and equal employment opportunity. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
- LOCATION
- Remote · US, United States
- WORK MODE
- Remote
- JOB TYPE
- Full-time
- POSTED
- Sep 21, 2026
Source: Jobgether Careers