Senior Customer Insights & Data Architect

Emirates

Dubai

On-site

AED 180,000 - 300,000

Full time

2 days ago
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Job summary

Emirates is seeking a Customer Insight Analyst in Dubai to build and optimize the data infrastructure behind customer-centric marketing. You will work with the marketing enablement team to map data ingestion, integration, and self-service analytics for decision makers across CCMB.

The role involves end-to-end ETL development, data quality monitoring, and collaboration with data science teams to extend marketing insights and improve data-driven decisions.

Qualifications

  • 5+ years in analytical research or customer behaviour analysis.
  • Degree or Honours (12+3 or equivalent) in marketing, Communications, Ecommerce or equivalent.
  • Experience in analytical research, customer behaviour analysis.
  • Statistical methodologies and marketing analytics basics.

Responsibilities

  • Collect, interpret and simplify incoming customer and marketing data across multiple data sources.
  • Drive improvements in extraction, aggregation, profiling, testing and analysis of terabytes of customer data.
  • Design, develop and launch automated data pipelines with end-to-end ownership of ETL processes.
  • Identify and integrate new data streams for marketing metrics.
  • Collaborate with analytics and data science teams to implement new statistical methodologies.
  • Monitor data quality and optimise data pipelines for analytical needs.
  • Build middleware/API frameworks to support data integration with marketing tech partners.

Skills

Analytical thinking
Data visualization
SQL
Google Analytics
Tableau
Excel
Communication skills
Presentation skills
Data integration
ETL

Education

Degree in marketing/communications/ecommerce

Tools

Google Analytics
Google BigQuery
Tableau

Job description

Emirates is seeking a Customer Insight Analyst in Dubai to build and optimize the data infrastructure behind customer-centric marketing. You will work with the marketing enablement team to map data ingestion, integration, and self-service analytics for decision makers across CCMB.

The role involves end-to-end ETL development, data quality monitoring, and collaboration with data science teams to extend marketing insights and improve data-driven decisions.

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