Data Analyst – Brand Advertising (They/She/He)

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Requirements:

• 3-5 years of professional work experience in a similar analytics role, preferably in advertising.
• Demonstrated proficiency in SQL and Python for querying mid to large data volumes.
• Higher education in a scientific discipline such as Physics, Statistics, Computer Science, Engineering, or Mathematics.
• Knowledge or experience in digital product development.
• Understanding of A/B testing principles for experiment design and analysis.
• Mastery in SQL and statistical programming (Python/R) with experience in tools like Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown.
• Experience in designing and analyzing experiments in digital products.
• Knowledge of visualization tools like Tableau, Looker, or PowerBI.
• Excellent spoken and written English.
• Experience in FMCG/CPG analytics is a plus.

Responsibilities:

• Measure the effectiveness of commercial initiatives and establish KPIs for performance.
• Design new KPIs to assess advertising campaigns.
• Build data processing pipelines for Looker Dashboards.
• Deliver actionable insights and strategic initiatives for market challenges.
• Use first-party data for custom user segments and audience capabilities.
• Create segmentation criteria for advertising relevance.
• Integrate APIs with Ads buying platforms.
• Support local teams with centralized dashboards for FMCGs Sales.
• Enhance how local teams consume and share data with brands.
• Apply advanced mathematical and statistical techniques to address product and business challenges.