Requirements
Candidates must have 5+ years of relevant experience in a similar role, preferably within the financial services industry. Strong analytical and problem-solving skills are required to translate business problems into data and analytics solutions. Proficiency in business tools like Excel, PowerPoint, and Visio is mandatory.
Description
Job description / Role
Job Type
Full Time
Job Location
Abu Dhabi, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management
About the job
Term: 12 months
Location: Abu Dhabi, UAE
Division: Payments
Reports to: Head of Sales - Cards
Relevant experience: 5 years+ in a similar role, ideally within the financial services industry. Strong analytical and problem-solving skills - ability to translate business problems into data and analytics solutions.
Mandatory requirements
Excellent communication and presentation skills
Experience in financial industry, previous consulting experience and understanding of digital data (app/web development) will be an advantage
Proficient in business tools (Excel, PowerPoint, Visio)
Purpose of job
The commercial card business analyst drives data-led decision making by translating complex commercial card data into actionable business insights aligned with strategic objectives. The role partners closely with business and technology stakeholders to define analytics use cases, deliver high-quality insights, and support product, customer, and performance optimization initiatives. The analyst applies strong problem-solving, communication, and project management skills while ensuring robust data governance, accuracy, and stakeholder satisfaction in a fast-paced, digital-first environment.
Tasks
Core responsibilities and accountabilities - Non-technical
Strategic thinking: Ability to understand the bigger picture and align day-to-day activities with company strategy.
Customer focus: Ability to understand and meet the needs of customers. This involves listening to customers, understanding their needs, and making decisions based on this understanding.
Communication skills: Ability to clearly communicate insights and ideas to stakeholders and team members.
Problem-solving skills: Ability to identify, analyze, and solve complex business problems.
Critical thinking: Ability to objectively analyze and evaluate issues and situations to form a judgement.
Collaboration: Ability to work effectively with others to achieve a common goal.
Project management: Ability to plan, organize, and manage resources to bring about the successful completion of specific project goals and objectives.
Core responsibilities and accountabilities - Technical
Data use case: Develop and define data use cases which align to the strategic direction set by the business stakeholders.
Data analysis: Proficiency in data analysis tools and methodologies. This includes statistical analysis, predictive modeling, and data visualization.
Business intelligence tools: Familiarity with business intelligence tools like Tableau, Power BI, or Looker. These tools help in creating reports and dashboards to present data insights.
Database querying: Knowledge of SQL or other database querying languages. This is essential for extracting and manipulating data from databases.
Data governance: Understanding of data governance principles and best practices. This includes data privacy, data quality, and data management.
Proficiency in business tools: Proficiency in business tools like Excel for data manipulation and analysis, PowerPoint for presentation of insights, and Visio for process mapping.
Cultural fit
Passionate about all things digital
Problem-solving mindset, challenging the status quo
Self-organizing, independent and takes ownership of each task
Meticulous to detail
Thrive under pressure
KPIs
Insight implementation: The number of insights provided by the business analyst that are implemented.
Data quality: The accuracy and completeness of the data used in analysis.
Stakeholder satisfaction: Feedback from various departments and stakeholders on the effectiveness and usefulness of the insights provided.
Project delivery: The number of analytics use cases delivered on time and within budget.
Process improvement: The impact of the data governance framework and SOPs on improving business processes. This can be measured by the reduction in data errors, increase in data availability, and improvement in decision-making speed.
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