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Remote nationwide, mid-level generalist data science title, and Bangalore metro raise applicant competition.
Role requires marketing-specific brand measurement and social listening expertise, limiting cross-industry transferability.
Explicit 5–8 years plus mandatory SQL/Python, brand-measurement, and platform experience create stringent filters.
Build and operationalize a cross-channel brand measurement framework integrating brand health, reputation, media, social, AI/LLM, and digital engagement signals.
Own measurement workstreams including data/platform configuration, integration, analysis, dashboard development, and communication with stakeholders.
Conduct diagnostic and deep-dive analyses to identify trends, drivers, and issues, delivering actionable recommendations for Marketing and Communications teams.
Bachelor’s or Master’s degree in Statistics, Economics, Data Science, or related quantitative/research discipline.
5–8 years of experience in marketing analytics, brand analytics, consumer insights, communications analytics, media intelligence, data science, market research, or related measurement field.
At least 2–3 years of hands-on experience in brand measurement, brand health, reputation measurement, social listening, or cross-channel marketing measurement.
Strong SQL and Python skills; experience with marketing data APIs and brand measurement platforms; proficiency in dashboard tools like Tableau, Power BI, or QuickSight.
Experienced in defining KPI frameworks, scorecards, and recurring measurement programs in a marketing context.
Skilled at independently managing complex analyses end-to-end including business question scoping, data prep, analysis, visualization, and stakeholder communication.
Comfortable working cross-functionally with teams across Marketing, Brand, Communications, PR, Social, Content, Media, Research, Digital, Customer, and Strategy domains.