Senior Analyst - Fintel (Data & Analytics)

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Date: 6 Oct 2026

Location: MBZ City, Abu Dhabi, AE

Company: G Forty Two General Trading LLC

Overview:

The role serves as the bridge between Finance and Technology, leveraging advanced analytics, data engineering, and business intelligence capabilities to support financial planning and decision-making. The incumbent will develop scalable data models, automate data processes, enhance reporting capabilities, and deliver insightful dashboards that improve visibility into financial performance, risks, and opportunities while driving finance transformation and data-driven decision making.

Responsibilities:

Data Architecture & Modeling

Design and maintain finance-focused data models integrating multiple sources (ERP, CRM, Excel, APIs).

 

ETL & Automation

 

Develop and optimize ETL processes using Power Query, SQL scripts, VBA macros and automation tools to ensure data accuracy and efficiency.

 

Database Management

 

Create and maintain structured finance databases to support budgeting, forecasting, and scenario modeling.

Stakeholder Collaboration

 

Partner with Finance, FP&A, and IT teams to translate business needs into technical solutions.

Data Governance

 

Implement data quality checks, security protocols, and documentation standards.

Advanced Analytics

 

Apply statistical and financial analysis techniques to identify trends, risks, and opportunities.

Dashboard & Reporting

Build interactive, visually compelling Power BI dashboards tailored for finance KPIs, variance analysis, and forecasting.

 

Qualifications:

Skills/Certifications (Technical & Non-Technical)

 

  • Expert in Power BI (DAX, data modeling, custom visuals)
  • Advanced SQL (queries, stored procedures, performance tuning)
  • Proficient in Power Query for data transformation
  • Advanced Excel (Power Pivot, macros, complex formulas)
  • Finance Knowledge:
  • Strong understanding of financial statements, KPIs, and accounting principles
  • Experience with budgeting, forecasting, and variance analysis
  • Other Key Skills:
  • Data warehousing concepts
  • API integration for financial data sources
  • Strong problem-solving and analytical mindset
  • Excellent communication and stakeholder management skills

 

Minimum Work Experience

 

Experience with ERP systems (MSD and Coupa)

Familiarity with Python or R for advanced analytics

Professional certifications (e.g., Microsoft Certified: Data Analyst Associate)

7-9 Years of experience in relevant role.

 

Education

Bachelor’s degree in business, Management, Information Technology, or a related discipline.