Product Data Analyst

Role

Yugabyte is growing, and we're looking for an experienced Product Data Analyst to take our product-led experience to the next level. If you’re passionate about mapping user journeys, capturing in-product events and analyzing user  behavior, optimizing user experience, and reducing user time to value through continuous experimentation, this role is for you.

As a Product Data Analyst, you’ll be responsible for all things data and analytics inside our SaaS and On-premesis offerings.. You'll manage in-product experiments, data capture, building data pipelines, and building reports and dashboards that tell the story about user journey.

You’ll work closely with product management, engineering, and marketing to make sure that the right data is captured and available to various teams to continuously improve user engagement.

Responsibilities

• Build the analytics foundation to understand, monitor, and improve YugabyteDB user journey..
• Collaborate closely with product, engineering, marketing, and design teams to translate in-product data insights into feature improvement and identifying opportunities for in-context user engagement and support.
• Define key metrics for measuring product-led sales success. Build dashboards and ongoing reports to surface insights and drive decision-making.
• Develop data-driven understanding of user Acquisition, Activation, Time-to-value, and Revenue
• Deepen understanding of user behaviors through analytics and experimentation to uncover strategic business opportunities for Yugabyte.
• Lead experimentation, execution, and assessing their impact on our key metrics.
• Guide the team in standardizing analytical processes and evangelize these methods across different functions.
• Influence roadmap development and strategic decision-making processes.
• Foster a data-driven, test-and-learn culture with your passion for storytelling with data.

Requirements

• A quantitative degree or equivalent experience in fields such as Statistics, Economics, Mathematics, Operations Research, or Engineering is preferred. An advanced degree or equivalent experience is a plus.
• 4-12 years in analytics, with a preference for PLG, in- product analytics experience.
• Proficiency in  building metric frameworks to understand user behaviors.
• Experience with products such as Rudderstack, Segment, Pendo, Amplitude, Mixpanel, Intercom etc.
• Sophisticated SQL skills, building data pipelines, and query optimization.
• A high level of comfort delivering reporting and insights within a data visualization platform. Looker is a plus.
• Led experimentation and statistical/predictive analysis to advise decision-making.
• Fostered a culture of continuous improvement by providing clear direction, setting expectations, and engaging cross-functional teams.
• Excellent communication and storytelling skills, a record of working cross-functionally to achieve results.