We are Hiring:
Position: Data Analyst
Location: Dubai-Silicon Oasis
Introduction:
RAKBANK, also known as the National Bank of Ras Al-Khaimah, is a Public Joint Stock Company based in the United Arab Emirates (UAE). It was founded in 1976 and is one of the oldest banks in the UAE. The Bank operates within retail and corporate banking, offering a range of services including personal and business banking, credit cards, loans, investment services, and wealth management
In the recent years, the Bank has achieved significant milestones which includes being named as one of the world's best banks by Forbes ME (2022) and was awarded UAE's SME Bank of the year by the Asian Banking and Finance Awards. The Bank has been successful in achieving the highest profitability and lowest cost of risk since 2015. It has also seen significant growth in its acquiring business, card spending, and business loans
Being on a transformational journey, in partnership with Honeywell, RAKBANK has also taken steps towards sustainability by reducing its overall energy consumption
We are a diverse team comprising of over 3,000 employees from across 58 countries. We make conscious efforts to build talented and diversified teams and encourage people to develop their full potential. We are committed to providing a working environment that promotes work-life balance, career development, recognition and security for the future
In line with our strategy, a major part of our transformation journey is to future proof our bank and establish ourselves as a ‘Digital bank with human touch’, for our customers
So, join us in co-creating the future of RAKBANK!
Job Description:
To be responsible for analyzing and interpreting large datasets to identify trends, risks, and opportunities for improvement. The Data Analyst will work closely with audit team members to design and implement data analysis and visualization tools to support internal audit objectives.
Responsibilities/Accountabilities:
Functional Responsibilities:
- Audit Process Improvement: Collaborate with internal audit team members to identify data requirements, areas for process improvement and develop data-driven solutions to optimize audit processes.
- Data Analysis and Reporting: Analyse, interpret and correlate multiple large datasets to identify trends, anomalies, and correlations using SAP Business Objects tools such as Crystal Reports and Web Intelligence.
- Data Visualization: Create interactive dashboards, reports, and visualizations to present findings to stakeholders, including audit committee members, management, and other stakeholders.
- SAP System Administration: Configure and maintain SAP Business Objects systems, including data extraction, and report scheduling.
- Data Extraction and Processing: Extract data from various systems and process it for analysis using SAP Business Objects tools, and queries.
- Audit Data Analytics: Develop and implement data analytics models to identify potential risks and opportunities for improvement in the organization's operations, financial stability, and compliance.
- Data Governance: Identify and mitigate data quality issues and ensure data integrity.
- Training and Support: Provide training and support to internal audit team members on SAP Business Objects tools and data analysis techniques.
- Staying Up to Date with Industry Trends: Stay current with industry trends, best practices, and emerging technologies in data analysis and visualization, applying this knowledge to improve audit processes and results.
- Developing Custom Reports and Dashboards: Develop custom reports and dashboards to meet specific audit requirements and present findings to stakeholders.
Core Responsibilities:
- Providing data-driven insights to form audit findings and recommendations.
- Supporting audit procedures through data extraction, analysis, and visualization.
- Developing data visualization tools to present findings to stakeholders.
- Enhancing audit efficiency by automating processes and improving workflows.
Skills/Competencies
- Strong knowledge of data analysis tools, such as Excel, SQL, Python, or similar.
- Experience in handling large data sets and relational databases.
- Data accuracy is paramount. Analyst must pay close attention to detail when cleaning and preparing data.
Minimum requirements:
Education:
- Bachelor’s degree in computer science, Mathematics, Statistics, or a related field.
Experience:
- Minimum 5 years of experience in data analysis or a related field.
- Experience with data visualization tools such as Power BI.
- Knowledge of database management systems (DBMS), SQL, MYSQL and Oracle Databases.
- Familiarity with programming languages such as Python, DAX.
