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Manager, Customer Analytics & Insights

Unlock employer Abu Dhabi, United Arab Emirates Posted: 10 Jul 2026

Financial

  • Estimate: $90k - $120k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The Manager Customer Analytics and Insights will be pivotal in establishing and leading the data analytics function from the ground up. This role is transformational and entrepreneurial, responsible for embedding a culture of data-driven decision-making across the organization. The role will be essential in developing processes, policies, and RACI models to coordinate how various functions work together and with different business units to serve the overall business.

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Key Responsibilities

  • Develop and execute a comprehensive data strategy that aligns with business goals and drives value.
  • Recruit, build, and lead a high-performing team of data analysts, data scientists, and researchers to deliver actionable insights that inform data-driven decision-making.
  • Implement and manage cutting-edge data infrastructure, tools, and technologies to support analytical needs.
  • Work closely with senior stakeholders across the business to understand their needs and objectives, leveraging data to generate insights that inform decision-making, improve customer experience, and optimize marketing campaigns.
  • Promote a culture of data-driven decision-making across the organization and advocate for the use of data and analytics in strategic planning and operational improvement.

Minimum Requirements

  • Bachelor's degree in Data Science, Business Administration, Statistics, or a related field; MBA or equivalent advanced degree preferred.
  • 12+ years of experience leading data and analytics functions, preferably in large B2C businesses such as retail, banks, or telecom.
  • Proven track record of establishing and leading new functions from scratch with strong strategic thinking skills.
  • Proficiency in data analytics tools and software (e.g., SQL, Dataiku, Python, R, Tableau, Power BI) and familiarity with data privacy regulations.
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