D

BI Manager

Data Science Middle East

Posted 1 day ago

Employment Type

Full Time

Location

Dubai

Requirements

9+ years experience, Team leadership, Software engineering, BI tools expertise, Data integration, Reporting dashboards, Stakeholder management, Analytical mindset, SQL proficiency

Job Description

Responsibilities

  • Lead the BI division, define vision and set strategic priorities for BI and analytics.
  • Oversee end-to-end BI execution including architecture, data integration, ETL and reporting.
  • Design and maintain reporting frameworks and scalable dashboard solutions.
  • Partner with business and technical stakeholders to translate requirements into BI deliverables.
  • Ensure BI tools, platforms and processes meet performance, quality and security standards.
  • Mentor, coach and grow a high-performing BI team; drive hiring, development and performance management.
  • Collaborate with data engineering, data science and product teams to enable data-driven decisions.

Requirements

  • 9+ years experience
  • Team leadership
  • Software engineering
  • BI tools expertise
  • Data integration
  • Reporting dashboards
  • Stakeholder management
  • Analytical mindset
  • SQL proficiency

Preferred Qualifications

  • Experience with Power BI, Tableau or Looker
  • Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
  • Strong background in data modelling and ETL design
  • Experience building and scaling BI teams in a regional or enterprise environment
  • Excellent communication and presentation skills

Benefits

  • Lead a talented BI team and shape analytics strategy in the MENA region
  • Hybrid role based in Dubai with exposure to regional clients and projects
  • Opportunity to work at a growing leader in data and AI with strong career growth potential
  • Collaborative and mission-driven culture focused on innovation and professional development

About the Company

Data Science Middle East is a regional leader helping organisations across the Middle East harness data and AI to drive business impact. We deliver data engineering, analytics and AI solutions to enterprises across industries. The company culture emphasises collaboration, technical excellence and continuous learning, with a focus on delivering scalable, business-focused analytics solutions.

How to Apply

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