HR Analyst – Learning & Development (6‑month contract)

About the role

This is a hands‑on HR Analyst position focused on Learning & Development for a six‑month interim assignment with a leading organization in Abu Dhabi. You will support the coordination and delivery of internal training programmes while also contributing to HR reporting, analytics and broader HR operations.

Key responsibilities

• Coordinate internal training programmes, learning initiatives and awareness sessions, managing plans, calendars, schedules and materials.
• Liaise with employees, internal stakeholders and external training providers; track participation and maintain accurate L&D records.
• Handle vendor requirements, administrative tasks and payment follow‑up for training providers.
• Prepare professional PowerPoint presentations and learning materials.
• Gather, maintain and analyse HR data; track KPIs, headcount, turnover, recruitment, training and employee engagement.
• Produce recurring and ad‑hoc HR reports, dashboards and management presentations.
• Identify opportunities to improve and automate HR reporting processes.
• Provide general HR coordination and administrative support, including onboarding, off‑boarding and employee documentation.
• Respond to day‑to‑day employee queries and coordinate follow‑up actions.
• Collaborate with Finance, IT, Legal and Strategy functions on HR‑related matters.

Required profile

• Minimum 2 + years of HR experience in the UAE, with hands‑on L&D and training coordination.
• Experience in a corporate/headquarters environment within energy, utilities, infrastructure or construction.
• Strong stakeholder management and interpersonal skills.
• Advanced proficiency in Microsoft Excel and PowerPoint; excellent communication and presentation abilities.
• Ability to balance administrative duties with employee and stakeholder interaction in a fast‑moving environment.

Required skills

• Microsoft Excel
• Microsoft PowerPoint
• Power BI (advantageous)
• HR reporting dashboards
• HR reporting analytics
• Data analysis