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Description: Designation: Assistant Manager Experience: 5 to 8 Years Location: Bengaluru, Karnataka , India (BLR) Job Description: To be successful in this role: • Master’s degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Economics, Engineering or other related core sciences or equivalent. • 4+ years relevant professional experience. • Experience with site experimentation (A/B testing). • You would have to strike a balance between critical thinking and actual hands-on analyses using tools & packages such as SQL, R, Python, Tableau etc. • Proactive collaboration and effective communication are needed. • Work from Bangalore Office ( client location ) – 3 days a week • Work Timings aligning with PDT working hours. ( 12PM – 9 PM IST ) • Additionally, availability is required for meetings between 9:30 PM IST and 12:30 AM IST. Additionally, the following background and experience is helpful: • Prior experience in product analytics. Should know how Search, Ads, Payments, Trust, Risk engine works in product org. • Proven track record of turning insights into growth opportunities in prior roles with increasing scope and responsibilities. • Ability to present complex analyses and insights effectively in simple terms. • Good experience with both descriptive and inferential statistics. • Experience in a leading technology company. • Background in e-commerce product experience. • Experience with Natural Language Processing or LLM/GenAI is a plus. Responsibilities: • Conduct, analyze, and deep dive into A/B tests and provide actionable recommendations on improving the product analytics features. • Decode and validate web tracking to analyze user behaviors around new features. • Develop metrics to measure product success and guide product roadmap. • Drive self-serve for commonly used metrics by building dashboards and onboarding metrics to experimentation platform. • Identify new growth opportunities and provide actionable recommendations by leveraging insights across behavioral data, customer research and data science. Skills: SQL, Python, Tableau Data Analytics, Tableau We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.