وظيفة محلل بيانات شاغرة لدى TalentHive في الدمام

Data Analyst - Fleet & Maintenance Operations

Location: Dammam, Saudi Arabia

Employment Type: Full-Time

Nationality: Saudi Nationals Only

About the Opportunity

We are seeking a talented and analytical Data Analyst to join a growing and diversified organisation operating across heavy equipment, fleet management, industrial services and maintenance operations in Saudi Arabia.

This is an exciting opportunity for a data-driven professional who enjoys turning complex operational data into meaningful business insights and contributing directly to operational performance, efficiency and continuous improvement.

Working closely with maintenance, fleet and operational leadership teams, you will play an important role in developing performance dashboards, improving reporting processes and supporting data-driven decisions across multiple equipment categories and workshop operations.

Key Responsibilities

• Analyse fleet, equipment and maintenance data to identify performance trends, recurring failures and opportunities for improvement.
• Design, develop and maintain interactive dashboards and automated reports using Power BI, Excel and other analytical tools.
• Monitor key operational KPIs, including equipment availability, downtime, preventive maintenance compliance, reliability and maintenance costs.
• Extract, validate and analyse data from ERP, fleet and maintenance management systems to ensure reporting accuracy and consistency.
• Identify opportunities to improve equipment utilization, workshop productivity, maintenance efficiency and operational costs.
• Develop and automate daily, weekly and monthly performance reports for operational management.
• Analyse maintenance expenditure, spare-parts consumption and resource utilization to support cost optimization.
• Collaborate with maintenance managers, workshop supervisors and operational teams to translate data into actionable recommendations.
• Support continuous improvement initiatives through performance benchmarking, trend analysis and operational reporting.

Requirements

• Saudi National - Mandatory.
• Bachelor's degree in Data Analytics, Industrial Engineering, Computer Science, Statistics or a related discipline.
• 3-5 years of experience in data analysis, business intelligence, operational reporting or a related field.
• Strong proficiency in Power BI, Microsoft Excel and SQL, or comparable analytical and reporting tools.
• Experience developing interactive dashboards, KPI reports and automated reporting solutions.
• Good working knowledge of ERP systems and operational data management.
• Strong analytical and problem-solving skills, with the ability to interpret complex datasets and identify improvement opportunities.
• Ability to communicate findings and recommendations effectively to technical and non-technical stakeholders.

Highly Desirable:

• Experience within heavy equipment, fleet management, transportation, industrial maintenance, workshop operations or related industries.
• Familiarity with maintenance management systems, equipment reliability and preventive maintenance KPIs.
• Experience analysing equipment downtime, utilization, maintenance expenditure or operational productivity.
• Certifications in Power BI, SQL, Data Analytics or Lean Six Sigma.

Why Join Us?

• Make a real impact: Your insights will directly support operational decisions, equipment performance and cost efficiency.
• Gain valuable industry exposure: Work across diverse fleet, equipment and maintenance operations within a dynamic industrial environment.
• Develop your expertise: Strengthen your technical and analytical capabilities while collaborating with experienced operational leaders.
• Be part of a growing organisation: Join a business focused on operational excellence, continuous improvement and long-term development.

Apply Now

If you are a Saudi Data Analyst with strong technical capabilities and a passion for using data to improve business performance, we would love to hear from you.

Apply today and take the next step in your career.