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Strong global brand and metro location increase applicant density, but seniority and specialization moderate competition.
Requires marketing-specific experience (MMM, MTA, CDP), reducing cross-industry transferability moderately.
Mandatory 8+ years plus specific Python, SQL, cloud and marketing analytics experience enforces high shortlisting strictness.
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Develop and maintain scalable data pipelines integrating data from multiple marketing and customer platforms.
Create data models and datasets supporting Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), audience measurement, and customer analytics.
Collaborate with data science, analytics, and business teams to ensure data quality, governance, and enable advanced marketing measurement solutions.
8+ years of experience in Data Engineering, Marketing Analytics, or related fields.
Proficiency in Python and SQL is mandatory.
Experience with cloud platforms such as AWS, Azure, or GCP.
Strong knowledge of data warehousing, data modeling, ETL/ELT frameworks, and handling first-party customer and digital marketing data.
Experienced professional capable of building and optimizing data workflows supporting marketing effectiveness measurement.
Comfortable working cross-functionally with data scientists, analysts, and business teams in a cloud-based modern data architecture environment.
Relevant expertise in marketing analytics domains such as MMM, MTA, customer analytics, or media measurement.