Senior Manager Data Insights

3 weeks ago

al Jumayliyah, Qatar QNB Group Full time
About QNB Group

Established in 1964 as the country's first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.

Our presence through our subsidiaries and associate companies extends to more than 31 countries across three continents, providing a comprehensive range of advanced products and services.

The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.

We have maintained our position as one of the highest rated regional banks from leading credit rating agencies, including Standard & Poor's (A), Moody's (Aa3), and Fitch (A+).

We have also been the recipient of many awards from leading international specialized financial publications.

Based on our Group's consistent strong financial performance and our expanding international presence, we currently rank as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.

We have an active community support program and sponsor various social, educational, and sporting events.

Job Purpose Summary

The incumbent will be responsible for analyzing 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 will 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 include SQL, Python, R, Excel, Tableau, Power BI, and Google Analytics.

Essential Duties & Responsibilities
  1. Analyze and document current application parameters.
  2. Document, coordinate, and obtain user approvals on the suggested new parameters, data procedures, and controls.
  3. Evaluate user information requirements and recommend and design the proper control & management reports to fulfill these needs.
  4. Recommend and configure the application parameters to suit the business, users, and regulations requirements.
  5. Prepare documentation for the system user guides as per the overall documentation policy.
  6. Design reports for the business (MIS) and provide the details to the data scientist and engineers to streamline their development or deployments.
  7. Liaise with data engineers to prepare test environments by loading adequate data for testing based on approved acceptance criteria and test cases.
  8. Review and approve data migration methods outcomes.
  9. Approve or disapprove the ML, AI model, or applications that are being tested for live usage.
  10. Adhere to all data governing aspects issued by the Data Governance Team or any control department related to data governance.
  11. Ensure to meet the set measures of data quality issued and published as guidelines by the Data Quality Team or any control department related to data quality.
  12. Provide timely/accurate data to external/internal auditors, compliance, financial control, and risk when required.
  13. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time.
  14. Provide analytics to transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
  15. Create interactive dashboards, reports, and presentations to effectively communicate complex analytical findings to stakeholders.
  16. 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 the 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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