Product Analyst (m/f/d)

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Software Engineer - Kubernetes (K8s) Go (Golang) Python Microservices Linux / Containers Distributed Systems CI/CD , AI-assisted development - 4 to 8 years

Cisco

In OfficeBengaluru

Apply

SDE-III Backend

Captain Fresh

In OfficeBengaluru

Apply

Senior ML Engineer

Truecaller

In OfficeBengaluru

Apply

Software Engineer, Backend - India

Ema Unlimited

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• Data Analysis & Insights
• Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
• Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
• Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
• Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders
• Product Support & Debugging
• Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
• Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
• Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem
• Automation & AI-Powered Workflows

Who can apply

• 2+ years of AdTech industry experience in a data, analytics, or product analyst role
• Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
• Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
• Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration.
• Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
• High attention to detail and commitment to data accuracy and quality of output
• Ability to work collaboratively in a cross-functional, globally distributed team environment
• Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
• Passion for building great products and creating excellent experiences for customers

About Kayzen

Searching for “Kayzen jobs” or “jobs at Kayzen”? You’re in the right place.