Customer Insights & Data Analytics Lead

The Emirates Group; Dubai; On-site; AED 180,000 - 360,000; Full time

Job summary

The Emirates Group is seeking a Customer Insight Analyst to develop the data infrastructure behind customer-centric marketing and enhance the marketing data lifecycle. You will collaborate with the marketing enablement team to map data ingestion and integration from multiple sources, delivering reliable data tools for analysts and decision makers.

Key duties include designing automated data pipelines, performing end‑to‑end analytics, and translating complex data into actionable insights for

Qualifications

• 5+ years in analytical research, customer behaviour analysis.
• Experience in marketing analytics and data-driven decision making.
• Strong data visualization and presentation skills for non-technical audiences.
• Proficiency with SQL and data workflow concepts.
• Familiarity with marketing tech like Google Analytics and BigQuery.

Responsibilities

• Collect and interpret customer and marketing data from multiple sources.
• Collaborate with insights and campaign teams to enable data-driven decisions.
• Improve ETL processes, data pipelines and analytics workflows.
• Develop automated dashboards and self-service analytics for stakeholders.
• Identify new data streams and integrate marketing metrics.
• Translate technical concepts for non-technical audiences.

Skills

Analytical research

Customer behaviour analysis

Data visualization

Stakeholder communication

Problem solving

Education

Degree in marketing, Communications, Ecommerce or equivalent

Tools

Tableau

Google Analytics

Google BigQuery

DMPs

SQL

Excel

Job description

The Emirates Group is seeking a Customer Insight Analyst to develop the data infrastructure behind customer-centric marketing and enhance the marketing data lifecycle. You will collaborate with the marketing enablement team to map data ingestion and integration from multiple sources, delivering reliable data tools for analysts and decision makers.

Key duties include designing automated data pipelines, performing end‑to‑end analytics, and translating complex data into actionable insights for