Were looking for Senior Product Data Analyst to join the tea Dynamic Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
R-265437
Requirements: 5+ years of experience in business analysis, product analytics, or data analysis, ideally in a SaaS company
Proficient in SQL- must
Proficient with BI and visualization tools (e.g., Tableau) - must
Experience with Python and dbt is a strong plus
Experience working with product analytics tools and event-based tracking
Solid understanding of A/B testing frameworks and statistical significance
Strong business acumen and ability to translate data into actionable product recommendations
Passionate about understanding user behavior and leveraging all available methods
Curious, independent, and highly analytical, with a meticulous approach to problem-solving
This position is open to all candidates.