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Mid LevelFull-timePythonData ScienceGitAI
Salary Range
$110,500 - $149,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Product Analyst to join Klaviyo, where you will play a critical role at the intersection of data and product. You will bring analytical skills and experience with experimentation to uncover insights that shape product strategy. This is a hybrid role requiring 3 days/week in our Boston office.
Key Responsibilities
- →Partner with product and engineering teams to evaluate product opportunities through A/B testing, data analysis, and customer insights
- →Contribute to the design, implementation, and analysis of experiments, ensuring correct setup, sufficient power, and clear interpretation of results
- →Conduct exploratory analyses to uncover patterns in customer behavior and product usage that inform product strategy
- →Define and track product and customer metrics to measure success, and help build dashboards and reporting
- →Collaborate with data engineering to ensure data pipelines and DBT models are accurate and well-structured
- →Communicate insights clearly to cross-functional partners, making data actionable for product decisions
Requirements
- ✓3-4 years of experience in product analytics, data science, or applied statistics, preferably in a SaaS or product-focused environment
- ✓Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering
- ✓Proficiency in SQL and experience using Python or R for data analysis
- ✓Hands-on experience with A/B testing and statistical analysis
- ✓Strong business intuition and curiosity, with the ability to translate questions into structured analytical approaches
- ✓Clear communicator who can frame findings for both technical and non-technical audiences
- ✓Experience working cross-functionally and using data to improve customer outcomes
Benefits
- ★Gain hands-on experience influencing product direction through experimentation and analytics
- ★Build expertise in product data science with mentorship and collaboration
- ★Join a company where data science is a core part of product development
- ★Be part of a culture that values analytical rigor, collaborative problem-solving, and continuous learning
