Data & Analytics Director

ROMS, Inc; Abu Dhabi; Hybrid; AED 250,000 - 450,000; Part time

Job summary

ROMS, Inc. invites a Data & Analytics Director to lead our data strategy from Abu Dhabi, delivering insights across warehouse, robotics, and logistics.

This part-time, hybrid role combines governance, metrics design, and advanced analytics to improve system performance, product outcomes, and operational efficiency. You will mentor analytics teams, translate complex data into actionable recommendations for senior leadership, and collaborate with engineering, product, and operations to align

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.

Responsibilities

• Oversee data collection and governance to ensure accuracy and compliance.
• Design dashboards and reports to translate data into actionable insights for decision-making.
• Guide advanced analytics initiatives for warehouse performance, system utilization, and customer outcomes.
• Mentor analytics team members and manage analytics projects in a hybrid work setting.
• Present findings and recommendations to senior leadership and cross-functional partners.

Skills

Analytical skills

Data analytics

Statistics & data science

Data strategy development

SQL

Python/R

BI tools (Power BI, Tableau, Looker)

Cross-functional collaboration

Quantitative background

Leading analytics teams

Hybrid work experience

Job description

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.