Senior Manager, Data Analysis
7 months ago
Job Purpose Summary:
TThe incumbent will be responsible for analysing and interpreting data to provide insights and recommendations for business decisions, including collection, cleaning, and exploring data, and using various methods and tools to find patterns, trends, and correlations. They also communicate their findings using data visualization and storytelling techniques. A data analyst needs to have strong analytical, statistical, and problem-solving skills, as well as knowledge of business domains and data sources. Some of the tools and technologies that data analysts use SQL, Python, R, Excel, Tableau, Power BI, Google Analytics
Essential Duties & Responsibilities by Dimensions:
- Document, coordinate and obtain user approvals on the suggested new parameters, Data procedures and controls.
- Evaluate user information requirements and recommend and design the proper control & management reports in order to fulfil these needs.
- Prepare documentation for the system user guides as per the overall documentation policy.
- Design reports for the business (MIS) and provide the details to the data Scientist and Engineers to streamline their development or deployments.
- Liaise with Data Engineer to prepare test environments by loading adequate data for testing based on approved acceptance criteria and test cases.
- Review and approve data migration methods outcomes.
- Adhere to all data governing aspects issued by Data Governance Team or any control department related to data governance.
- Ensure to meet the set measures of data quality issued and published as guideline by Data Quality Team or any control department related to data quality.
- Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
- Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time
- Create interactive dashboards, reports, and presentations to effectively communicate complex analytical findings to stakeholders.
- Review existing analytic processes to identify best practices and opportunities for improvement.
Education & Experience Requirements:
- University graduate preferably with a Major in computer science, data science, information science, statistics, mathematics, information science, or related field.
- At least 8 years of relevant experience, preferably within a highly rated international bank.
- Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel, Google Analytics
- Proven experience in utilization of related programming languages such as SQL, Python, R, Etc.
- Excellent oral and written communication skills (including report writing) in English and Arabic.
- Knowledge of programming languages; R & Python in addition to Libraries like pandas, NumPy, and scikit-learn for data manipulation and analysis.
- Ability to query databases using SQL is essential for extracting data, and fair knowledge of database systems like MySQL, PostgreSQL, Oracle, or MS SQL.
- Knowledge of using tools and libraries like Tableau, Power BI, Matplotlib, Seaborn, or ggplot2 to represent data in a visual format that is easy to understand.
- Critical Thinking.
- Problem Solving.
- Communication and teamwork.
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