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Business Analyst

Job in Abu Dhabi, UAE/Dubai
Listing for: 963 Damen Middle East Shared Services Limited
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 AED Yearly AED 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Position Title

Business Analyst

Department

Data & Analytics / Shared Services / Financial Group Control

Location

Damen Middle East

Reports To

Data & Analytics Manager / Head of Data & Analytics

Employment Type

Full‑Time

Job Purpose

As a Business Analyst at Damen, you translate data into actionable insights for business stakeholders. You identify information needs and convert them into clear dashboards and reports that support management decision‑making, acting as a liaison between stakeholders, data engineers, dashboard developers, and the business.

About the Organization

Damen is an international organization actively professionalizing its data and BI landscape, with teams operating across multiple locations. The central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development, focusing on data governance, standardizing reports, KPI definitions, and organization‑wide dashboards.

Key Responsibilities
  • Translate business questions into structured reports, analyses, and dashboards.
  • Perform business, financial, and statistical analyses to identify trends, anomalies, and root causes.
  • Develop and maintain dashboards and reports (e.g., Power BI).
  • Monitor performance indicators and identify operational risks and improvement opportunities.
  • Provide data‑driven recommendations to support management decision‑making.
  • Define, document, and prioritize business requirements and user stories.
  • Translate business requirements into technical specifications for development teams.
  • Participate in Agile ceremonies, including sprint planning, backlog refinement, and reviews.
  • Ensure alignment between business needs and data solution delivery.
  • Support implementation of data governance standards and policies.
  • Ensure consistency and accuracy of KPI definitions and reporting frameworks.
  • Contribute to development of data models and validation standards.
  • Maintain data quality, reliability, and usability across reporting systems.
  • Promote standardized reporting practices across the organization.
  • Act as a trusted advisor to stakeholders on data and analytics matters.
  • Support stakeholders in interpreting reports and dashboards.
  • Provide guidance and training on data‑driven decision‑making.
  • Communicate technical concepts clearly to non‑technical audiences.
  • Facilitate workshops and requirements gathering sessions.
Key Accountabilities
  • Delivery and maintenance of accurate and reliable management dashboards.
  • Timely and high‑quality data analysis and reporting.
  • Clear documentation of requirements and user stories.
  • Alignment of business requirements with IT and data solutions.
  • Adoption of standardized KPI definitions and reporting frameworks.
  • Data quality and integrity within assigned reporting domains.
Qualifications
  • Education:

    Bachelor’s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field.
  • Experience:

    5–8 years in BI reporting, data analytics, or business analysis.
  • Strong communication and stakeholder management skills.
  • Proven experience in BI reporting and dashboard development.
  • Strong analytical skills and ability to translate business needs into data solutions.
  • Experience with Power BI and data modelling.
  • Experience working with multiple data sources and ERP systems ("SAP S/4

    HANA or IFS").
  • Experience presenting insights to management.
  • Experience with Agile working methods and writing user stories is a plus.
  • Pragmatic, independent, and solution‑oriented mindset.
  • Affinity with AI and the use of AI tools to support data analysis is a plus.
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