Finance Data Analyst

Job Location
United Arab Emirates, Middle East
Job Role
Corporate
Contract Type
Full-Time
Salary
Posted Date
2025-06-18
Job Expiry Date
2025-07-18
Qualification
Master Degree

Accountabilities


1.  Strategy Enablement & Data Translation

•  Act as the primary bridge between Finance and IT, ensuring that finance and business requirements are accurately captured and embedded early into platform and solution design.

•  Lead strategic, finance-centric data initiatives such as activity-based costing and margin analytics 

•  Identify and prioritize high-impact data use cases that drive financial insight and strategic value.

2.  Data Governance & Quality

•  Post-rollout, lead efforts around data governance, quality control, and data cataloguing.

•  Ensure consistent understanding, clarity and adoption of key financial metrics like EBITDA, aligned with Company standards, and emphasize their importance over EBIT or Net Income in decision-making.

•  Advocate for strong data discipline across the organization. Promote data literacy across the Finance function and ensure business users understand and trust the data.

3.  Analytical Development & Delivery of Use cases

•  Sponsor or co-own Finance-led data use cases, including AI, forecasting models, and machine learning applications.

•  Leverage SQL, Python, and Power Apps for advanced querying, reporting, and visual storytelling.

•  Collaborate closely with internal and external developers, data engineers, scientists, and business units to drive actionable insights.


Education & Experience


•  Master’s degree in Finance, Accounting or a related field.

•  Proficiency in Python, SQL and Power Apps.

•  5–10 years of experience in data-centric roles, ideally within Finance, FP&A, or Data Strategy.

•  Ideally, experience in financial or operational analytics, with a solid understanding of business impact and performance metrics.

•  Experience with SAP S4 HANA and other ERP systems and expertise in Excel for data analysis, modeling, and reporting.

•  Highly proficient in data extraction from various sources and systems, with the ability to manage, retrieve and reconcile multiple data points on a regular basis.

•  Excellent communication and stakeholder engagement skills; able to challenge constructively and bridge the gap between business and technical teams.

Apply Now