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Data & Analytics Director

Remote / Online - Candidates ideally in
Abu Dhabi, UAE/Dubai
Listing for: ROMS, Inc
Part Time, Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 250000 - 450000 AED Yearly AED 250000.00 450000.00 YEAR
Job Description & How to Apply Below

Role Description The Data & Analytics Director is a part-time, hybrid role based in Abu Dhabi Emirate, United Arab Emirates, with some work-from-home flexibility. This role leads the development of data strategy and analytics capabilities across ROMS, translating operational, product, and customer data into insights that support decision-making and growth. Day-to-day work includes overseeing data collection and governance, designing dashboards and reports, and guiding advanced analytics initiatives for warehouse performance, system utilization, and customer outcomes.

The Director collaborates with engineering, product, operations, and commercial teams to define key metrics, optimize algorithms, and validate system performance. Responsibilities also include mentoring analytics team members, ensuring data quality and compliance, and presenting findings and recommendations to senior leadership.

Qualifications
  • Candidates should possess strong Analytical Skills to interpret complex warehouse, robotics, and business performance data.
  • Candidates should possess Data Analytics and Data Analysis skills to build dashboards, reports, and decision-support tools.
  • Candidates should possess Statistics and Data Science skills to design experiments, build predictive models, and refine algorithms.
  • Experience developing and executing data strategies in technology, robotics, logistics, or automation-focused organizations.
  • Proficiency with modern analytics tools and platforms (e.g., SQL, Python/R, BI tools such as Power BI, Tableau, or Looker).
  • Demonstrated ability to collaborate with cross-functional stakeholders and communicate insights to technical and non-technical audiences.
  • Background in a quantitative discipline such as Data Science, Statistics, Engineering, Computer Science, or a related field.
  • Experience in leading or mentoring analytics teams and managing projects in hybrid work environments is an advantage.
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