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Specialist- Statistics & Data Analysis

Dubai, UAEPosted yesterday

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Salary
AED 12k–20k a month· est.
Job type
Full time
Level
Mid level
Field
Data & Analytics
Work mode
On site
Visa
Employer sponsors

About the role

Beginning of the main content section.Return to the home pagePrintable Format Job Description - Specialist- Statistics & Data Analysis (26003618)Job Description Specialist- Statistics & Data Analysis - (26003618) Job Description Job Purpose:Deliver Enterprise Command & Control (ECC) transportation data operations for the RTA by producing analysable information, reports, and data products, managing requests and matrices, and operating labs/vendors/partnerships per approved policies and procedures.StrategyCalibrate the ECC transport model from RTA and external sources; continuously update model/databases; integrate road/public-transport networks, demographic, and land-use information for scenarios, including emergencies and crises.Analyze transport-network indicators and road traffic data; prepare recommendations and improvement proposals with relevant entities and the Strategic Planning Department.Develop and enhance the transport statistics matrix within the ECC and operational control centers per approved policies, operating procedures, data-governance standards, and the Technology Strategy & Governance framework.Establish and operate the Data Lab for transportation data use cases; define governance, pipelines, environments, and service levels for repeatable analytics operations. Operations Collect, classify, and analyze transport-related data and statistics within the ECC and operational centers (roads, mobility, traffic, operational systems); provide decision-support insights per approved policies and procedures.Process and classify data in ECC systems; ensure availability for revising and improving quality to convert it into analyzable information for development of data products for the ECC and all operational centers.Prepare analytical reports and studies through ECC data systems; share with relevant internal entities to support decision-making and strategic planning of the transport network.Manage requests for internal and external data and statistics within the ECC and operational centers; ensure compliance with RTA-approved data standards, strategic management frameworks, and governance practices. Update and maintain the statistics matrix within the ECC and operational centers by defining categories, classifications, sources, and periodic updates; organize the process to facilitate data exchange and knowledge-sharing across the RTA.Update and maintain the statistics matrix within the ECC and operational centers by defining categories, classifications, sources, and periodic updates; organize the process to facilitate data exchange and knowledge-sharing across the RTA.Manage vendor coordination and Proof of Concept (PoC) delivery for transportation data solutions; track scope, timelines, acceptance criteria, and handover into operations. Coordinate partnerships and academia engagements for datasets, methods, and benchmarking aligned with approved procedures and governance.Undertake additional roles or responsibilities as assigned, including participation in committees and specialized teams as a member or a subject-matter expert.Product/Process ImprovementManage the transport data-product development system and use cases at the ECC and operational centers by leveraging big data per approved policies and procedures; ensure products contribute to improved situational awareness and decision-making.Implement continuous improvements to analytics workflows, documentation, and dataquality controls to support reliable data products and reports. Qualifications Education: Bachelor’s/ Master’s degree in Transportation/ Traffic/ Industrial Engineering, Statistics, Data Science, or Computer ScienceExperience: 3+ years in case of Master’s degree (5+ years in case of Bachelor’s degree)Qualification: Certifications such as BI/analytics (e.g., Power BI/Tableau), SQL/ Python; transport modeling/GIS certifications, Job Category: Road and Transport EngineeringAdvertiser: Roads and Transport AuthorityDepartment: Enterprise Command & ControlEducational-level: BachelorRequired Nationality: UAE Only Suitable for people with determination: NoMonthly Salary: UnspecifiedSchedule-Time: Full timeJob Posting: 10/11/2026Unposting Date: 10/12/2026

Requirements

Education: Bachelor’s/ Master’s degree in Transportation/ Traffic/ Industrial Engineering, Statistics, Data Science, or Computer Science Experience: 3+ years in case of Master’s degree (5+ years in case of Bachelor’s degree) Qualification: Certifications such as BI/analytics (e.g., Power BI/Tableau), SQL/ Python; transport modeling/GIS certifications

Responsibilities

Deliver Enterprise Command & Control (ECC) transportation data operations for the RTA by producing analysable information, reports, and data products, managing requests and matrices, and operating labs/vendors/partnerships per approved policies and procedures. Calibrate the ECC transport model from RTA and external sources; continuously update model/databases; integrate road/public-transport networks, demographic, and land-use information for scenarios, including emergencies and crises. Analyze transport-network indicators and road traffic data; prepare recommendations and improvement proposals with relevant entities and the Strategic Planning Department. Develop and enhance the transport statistics matrix within the ECC and operational control centers per approved policies, operating procedures, data-governance standards, and the Technology Strategy & Governance framework. Establish and operate the Data Lab for transportation data use cases; define governance, pipelines, environments, and service levels for repeatable analytics operations. Collect, classify, and analyze transport-related data and statistics within the ECC and operational centers (roads, mobility, traffic, operational systems); provide decision-support insights per approved policies and procedures. Process and classify data in ECC systems; ensure availability for revising and improving quality to convert it into analyzable information for development of data products for the ECC and all operational centers. Prepare analytical reports and studies through ECC data systems; share with relevant internal entities to support decision-making and strategic planning of the transport network. Manage requests for internal and external data and statistics within the ECC and operational centers; ensure compliance with RTA-approved data standards, strategic management frameworks, and governance practices. Update and maintain the statistics matrix within the ECC and operational centers by defining categories, classifications, sources, and periodic updates; organize the process to facilitate data exchange and knowledge-sharing across the RTA. Update and maintain the statistics matrix within the ECC and operational centers by defining categories, classifications, sources, and periodic updates; organize the process to facilitate data exchange and knowledge-sharing across the RTA. Manage vendor coordination and PoC delivery for transportation data solutions; track scope, timelines, acceptance criteria, and handover into operations. Coordinate partnerships and academia engagements for datasets, methods, and benchmarking aligned with approved procedures and governance. Undertake additional roles or responsibilities as assigned, including participation in committees and specialized teams as a member or a subject-matter expert. Product/Process Improvement: Manage the transport data-product development system and use cases at the ECC and operational centers by leveraging big data per approved policies and procedures; ensure products contribute to improved situational awareness and decision-making. Implement continuous improvements to analytics workflows, documentation, and data-quality controls to support reliable data products and reports.

Skills

  • Power BI
  • Tableau
  • SQL
  • Python
  • transport modeling
  • GIS
  • data governance
  • data analysis
  • data quality controls
  • big data
  • data-product development
  • stakeholder management

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