Senior Product Analyst

Job Title: Sr. Product Analyst

Role Summary:

The Senior Product Analyst at inKind plays a critical role in shaping what we build and how we measure success across our two-sided marketplace. You will turn complex data into actionable insights that guide product decisions, partnering closely with product managers, engineering, and business stakeholders to uncover opportunities, validate hypotheses, and influence strategy.

This is an embedded analytics role, not a centralized reporting function. You will operate as a core member of the Product Team, using data to anticipate issues, propose new experiments, and proactively drive conversations around roadmap prioritization. Your work will directly inform the diner and restaurant partner experience, helping us build a smarter, more efficient marketplace.

Who You Are:

• Analytically Rigorous: Expert in SQL and proficient in statistical methods; comfortable analyzing large datasets and producing work that can withstand scrutiny
• Proactive & Insight-Driven: You don’t wait to be told what to explore. You surface patterns, anomalies, and opportunities before others notice them
• Business-Minded: You understand that data drives decisions, translating analysis into narratives that influence product and business outcomes
• Resourceful & Scrappy: You work effectively with imperfect data and ambiguous problem spaces and know how to ship insights despite limitations
• Clear Communicator: You can present complex analytical findings to technical and non-technical audiences and tell a compelling story with data
• Collaborative Thought Partner: You enjoy working closely with PMs and engineers to refine hypotheses, design experiments, and operationalize insights

 

Responsibilities/Essential Functions: 

• Analyze diner and partner behavior across the marketplace to surface insights, identify trends, and proactively recommend product improvements
• Partner with PMs to size opportunities, prioritize roadmap decisions, and translate data into clear, actionable narratives
• Build and maintain dashboards in Sigma and define key product metrics to ensure consistent, accurate visibility across the organization
• Design statistically rigorous A/B tests, evaluate results, and document learnings to guide experimentation strategy
• Investigate performance anomalies or unexpected behaviors, providing timely insights that help the team course-correct
• Collaborate with engineering to improve event instrumentation, ensure accurate tracking in Amplitude, and address data quality issues
• Produce regular reporting and analyses for Product and leadership to monitor product health and feature performance
• Support cross-functional teams such as Marketing and Finance with attribution analysis, forecasting inputs, and partner performance insights
• Serve as an embedded analytical thought partner, bringing forward opportunities, hypotheses, and experiments rather than waiting for requests
• Contribute to building strong analytical foundations through clear documentation, metric definitions, and repeatable analysis methods

 

Minimum Qualifications:

• 5+ years of experience in product analytics, business intelligence, and/or a quantitative analyst role in tech
• Strong proficiency in SQL and experience working with large, complex datasets
• Experience with BI tools such as Sigma, Looker, Tableau, Mode, or similar
• Experience with event-based analytics platforms (ex. Amplitude, FullStory, or similar)
• Hands-on experience analyzing user behavior across acquisition, activation, engagement, and retention
• Demonstrated experience designing and analyzing A/B tests
• Proven ability to convert analysis into clear, actionable business and product recommendations

 

Preferred Qualifications:

• Experience in a two-sided marketplace, fintech, or consumer technology environment
• Experience with Snowflake, PostgreSQL, and transactional database structures
• Experience with Python or R for statistical analysis or advanced modeling
• Background working embedded within a product team rather than a centralized analytics function
• Experience with analytics engineering or data modeling concepts
• Familiarity with experimentation frameworks and causal inference concepts

 

Work Environment:

• The candidate in this position will be primarily located in an office environment and be exposed to lighting, temperature, and noise level conditions typical of that