Data Governance Analyst - Banking Sector

1.   Perform the required data exploration activities needed to set proper data elements standards using machine learning, data mining, and data quality techniques.

2.      Identifying data quality defects patterns and trends and perform root-cause analysis, gap analysis, and impact analysis in order to solve complex data issues.

3.      Develop Data Quality analytical reports in order to provide operational and tactical data stewards with monitoring and tracking tools to eliminate Data Quality defects.

4.    Develop Data Quality Dashboards to provide senior management and business managers with proper visual monitoring tools in order to monitor and track the progress of eliminating data defects.

5.      Collaborate with other business areas that are sourcing and consuming data to align expectations as part of developing requirements, creating and executing test plans and to effectively support production processing.

6.     Develop data remediation plans for the data failures in order to meet the required standard to enhance data quality level, and measure progress after execution to ensure the successful execution of the remediation process.

7.    Apply the data governance framework including the management of data, operating model, data policies and standards in order to deliver a smooth operation process.

8.      Assess the changes on Reference Data to ensure they match the predefined quality standards and ensure they meet the business and regulatory rules.

9.      Participate in the required research and POCs to explore and implement new technology trends and complex data governance use cases in order to enhance the enterprise data governance operating model.

10.   Apply the data management framework including the management of data, information and analytics operating model, data policies and standards in order to deliver a smooth operation process.

Policies, Processes and Procedures

11.   Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner

Day-to-day Operations

12.   Follow the day-to-day operations related to own jobs in the department to ensure continuity of work

Requirements

§  Bachelor’s degree of Information Systems, Computer Science or its equivalent

§  Analyst : 2 - 4 years of previous work experience

§  Experience in data analysis, data governance, information governance, data management, or data analytics related jobs would be a plus.

§  Good Knowledge in database concept and PL-SQL, BI concepts (ETLs, Cubes, Dashboards, Reports...etc.) is a must

§  Good Knowledge in Python or R is a must

§  Good Knowledge in Data Mining techniques and dealing with huge data sets is a plus

§  Good Knowledge in Data Visualization tools is a plus

§  Strong Analytical skills with a high degree of accuracy

§  Strong Problem Solving and Data Manipulation Skills

§  Ability to analyze Complex business problems

§  Ability to exercise good judgment and discretion, especially with regards to sensitive or confidential personnel and organizational matters

§  Demonstrated ability to 1) effectively work in an ambiguous environment, 2) effectively work in a cross-team environment and 3) succeed in a complex and dynamic work environment.4) Work independently, directly with the business partners.

§  Strong interpersonal and communication skills; ability to develop and maintain effective working relationships with persons at all levels in the organization

§  High energy and high endurance; ability to respond flexibly and positively in all circumstances; calm under pressure and tight deadlines

§  Strong organizational skills; ability to work independently and to prioritize a heavy workload of competing assignments