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Remote mid-level data role with broad marketing analytics skills attracts many qualified applicants.
Role requires specific brand-measurement and marketing analytics experience, limiting transferability across industries.
Explicit 5–8 years plus required SQL/Python and brand-measurement experience filter candidates moderately.
Build and operationalize a cross-channel brand measurement framework integrating multiple data sources including brand health, social media, and digital engagement.
Own measurement workstreams involving data/platform configuration, integration, analysis, dashboarding, and stakeholder communication.
Conduct diagnostic and deep-dive analyses to identify trends, drivers, and opportunities and deliver actionable recommendations to Marketing, Communications, and business 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, or related measurement fields.
At least 2–3 years of hands-on experience in brand measurement, reputation measurement, social listening, or cross-channel marketing measurement.
Strong SQL and Python skills; experience with brand intelligence/measurement platforms and data visualization tools like Tableau or Power BI.
Experienced in developing KPI frameworks, recurring measurement programs, and complex analytics end-to-end from business question to delivery.
Technical capability in integrating multiple data types/APIs with proficiency in data extraction, validation, and automation.
Ability to work cross-functionally with diverse marketing and communications teams to translate complex data into clear, actionable insights.