Perform the required data exploration activities needed to set proper data elements standards using machine learning, data mining, and data quality techniques
Identifying data quality defects patterns and trends and perform root-cause analysis, gap analysis, and impact analysis in order to solve complex data issues
Develop Data Quality analytical reports in order to provide operational and tactical data stewards with monitoring and tracking tools to eliminate Data Quality defects
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
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
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
Apply the data governance framework including the management of data, operating model, data policies and standards in order to deliver a smooth operation process
Assess the changes on Reference Data to ensure they match the predefined quality standards and ensure they meet the business and regulatory rules
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
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
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
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