Senior Product Data Analyst

Founded in 2016, Katalon is the leading provider of a modern, comprehensive quality management platform. Katalon Platform enables quality assurance, DevOps, and software teams of any size to deliver world-class customer experiences faster, easier, and more efficiently.

Since its first launch, Katalon has experienced tremendous growth, serving more than 30,000 teams around the globe, many of which are in the Fortune Global 500, such as PwC, KPMG, Abbott, etc. Katalon is recognized as a top automation tool by prestigious review sites, such as G2, Gartner, Capterra, and IT Central Station. 

Responsibilities

We’re looking for a strategic and experienced Senior Product Data Analyst to join our Product team and drive data-informed decision-making across Katalon’s product suite. In this role, you’ll go beyond reporting - you’ll uncover deep insights, influence product direction, and partner closely with cross-functional teams to shape a world-class SaaS product.

Responsibilities include:

• Partner with Product Managers and cross-functional teams (Marketing, Engineering, RevOps) to define, track, and refine key product metrics.

• Lead deep-dive analyses on user behavior, conversion funnels, onboarding, and retention to uncover actionable insights.

• Design, implement, and evaluate A/B tests to validate product hypotheses and measure the impact of new features.

• Build and maintain self-serve dashboards and KPI reporting frameworks using BI and product analytics tools.

• Ensure accurate event tracking by collaborating with engineering and product teams on data instrumentation (e.g., Mixpanel, Amplitude).

• Drive product strategy by identifying growth opportunities, friction points, and user segments through behavioral data.

• Communicate insights and recommendations clearly and confidently to both technical and non-technical stakeholders, including senior leadership.

• Contribute to a culture of data literacy and experimentation across the Product organization.

Requirements

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics).

• 5+ years of experience in product or data analytics, ideally within a fast-paced SaaS or tech environment.

• Proficient in SQL and Python/R for data analysis.

• Strong experience with product analytics tools (e.g., Mixpanel, Amplitude) and BI platforms (e.g., Tableau, Power BI, Looker).

• Proven ability to run A/B tests and analyze experimental results.

• Strong storytelling and communication skills - you can distill complex data into clear, impactful narratives.

• Comfortable working independently and influencing cross-functional teams in a collaborative environment.

Benefits

At Katalon , we bring together self-starting, open-minded, and talented people while actively promoting a transparent and growth-enabling working environment. But don’t just take our word for it. Take a better look below!

• Total Remuneration:  Satisfying your financial goals through competitive compensation and periodic performance bonuses.
• Well-being & Work-life Balance:  Staying healthy through comprehensive health plans, flexible work arrangements, and generous paid leaves.
• Statutory Compliance: Labor compliance with local regulations that ensure employee security.
• Work Facilities & Accommodation: Top-notch equipment, supportive allowances, and A-class facilities.
• Diversity, Equity, Engagement, & Inclusion:  Becoming part of a global team that celebrates differences, equal opportunity, and meaningful employee recognition.
• Growth & Rewards:  Thriving professionally through employee enablement, a culture of trust, and rewarding performance.

Katalon is proud to be an equal-opportunity employer . We care about our people and celebrate our differences. We want to work with talented, collaborative, and innovative people. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other characteristics protected by law.