(Ind) Senior, Data Analyst

Overview

Senior Data Analyst on the Global Product Analytics team in India, partnering with product, engineering and business leaders to turn product and business data into actionable insights.

What you'll do

• Define product metrics, measurement frameworks and analytical roadmaps to identify opportunities for improving products and business outcomes.
• Analyse large and complex datasets to uncover patterns, identify root causes and translate findings into actionable recommendations.
• Use quantitative analysis to understand the key drivers of customer behaviour, product performance and business results.
• Partner with product leaders, designers and engineering managers to evaluate opportunities and prioritize initiatives based on impact.
• Conduct analytical deep dives to identify business problems, opportunities and the actions required to address them.
• Collect, process and analyse data from multiple sources using SQL, Python, R or other analytical and statistical tools.
• Design, execute and analyse A/B tests while driving analytical rigor and a strong experimentation culture across product teams.
• Develop new analytical methodologies and scalable approaches to solve complex product and business problems.
• Communicate insights clearly and persuasively through business reviews, presentations and executive discussions.
• Represent the Product Analytics team in key stakeholder meetings and business reviews.
• Actively leverage AI and Generative AI tools to automate repetitive workflows, enhance analytical productivity and accelerate the journey from data to actionable insights.
• Demonstrate a strong bias for action and use analytics to drive measurable business impact.

What you'll need

• 2–6 years of experience working in a high-growth analytics, product analytics or related data-driven environment.
• Bachelor's degree in Statistics, Computer Science, Business Administration or a related field.
• Strong proficiency in SQL and Python, including the ability to independently query, transform and analyse complex datasets.
• Good understanding of statistical analysis, experimentation and common pitfalls in data interpretation.
• Strong analytical and problem-solving skills, with the ability to translate ambiguous business questions into structured analyses.
• Excellent written and verbal communication skills, with the ability to communicate complex insights to technical, business and executive stakeholders.
• Ability to collaborate effectively with cross-functional teams and influence decisions through data and insights.
• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field, or Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, or Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Nice to have

• Experience in product analytics and working with product development teams.

Details

• Location: Bangalore, India (Block 1, Prestige Tech Pacific Park, Outer Ring Road, Kadubeesanahalli).
• Work mode: Based in the Bangalore office for daily work, with flexibility for associates to manage personal lives.