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Mid-level, popular data analyst role at a well-known Bangalore firm attracts many qualified applicants.
Analytical and data-science skills are broadly transferable across industries and sectors.
Explicit 3–5 years requirement plus mandatory analytics tools and techniques increases filter strictness.
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Own end-to-end analytics and research projects for marketing teams to enable better business decisions across multiple domains.
Translate business questions into structured analytical and data science approaches using both structured and unstructured data.
Apply quantitative analysis, data science techniques, and AI/GenAI tools to generate actionable insights, build forecasts, segmentations, and support experimentation.
3-5 years of experience in Data Analytics, Business Analytics, Data Science, or Research & Analytics roles.
Proficiency in Excel, SQL, ClickHouse, Python/R, dashboards, and data visualization tools.
Knowledge of data science techniques including regression, classification, clustering, forecasting, experimentation, and statistical modeling.
Work Experience Required: 3-5 years explicit; Other filters: Not explicitly mentioned in the JD.
Experienced in managing multiple analytics projects with strong stakeholder collaboration and communication skills.
Comfortable balancing hands-on data analysis with research design and insight storytelling for senior business audiences.
Familiar with AI/ML concepts and GenAI tools to enhance insight generation and operational efficiency in analytics.