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Product Analyst
Location
United States
Posted
130 days ago
Salary
$99K - $158K / year
Seniority
Senior
Job Description
Product Analyst
Toast
• Partner cross-functionally to support analytics needs for a specific product area or initiative. • Write SQL queries and use analytics tools to create datasets and analyses that measure product usage, performance, and customer outcomes. • Build and maintain dashboards and recurring reports that help teams monitor key metrics and trends. • Support experimentation efforts by helping define success metrics and analyzing results of A/B tests and product experiments. • Develop a strong understanding of product and operational data sources to ensure accurate and consistent reporting. • Enable self-service capabilities and build on trustworthy datasets. • Perform data quality checks and proactively identify anomalies or inconsistencies and improve data processes. • Translate analytical findings into clear insights and recommendations for product teams. • Contribute to shared analytics documentation, metric definitions, and best practices. • Proactively identify areas outside the regular stream of business requests where analytics can add value.
Job Requirements
- Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 5 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 3 years of related experience; or equivalent experience.
- Strong SQL & statistical data modeling skills (e.g. SQL, Python, R) and experience working with large data sets ensuring accuracy and reliability.
- Strong experience with analytics and visualization tools (e.g. Amplitude, Heap, Tableau, Looker, Hex, or similar).
- Understanding and application of product metrics, funnels, behavioral analytics concepts, and experimentation.
- Strong communication and storytelling skills, with the ability to distill complex data into clear recommendations for technical and non-technical audiences.
- Experience translating stakeholder needs and requirements into clear analytical approaches, data architecture, dashboards and insights.
- A self-starter mindset - comfortable building new analytics foundations and iterating on them in a fast-moving environment.
Benefits
- Competitive compensation and benefits programs
- Cash compensation (overtime, bonus/commissions, if eligible)
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
- Remote work options
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