Senior Analyst, Pricing and Business Analytics
New
J
JobgetherFinance
United StatesFull-TimeSenior
Salary$110,000–$125,000 USD
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Job Details
- Experience
- 2–5 years
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisA/B testingLooker
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.
Responsibilities
- 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.
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