Data Analyst

<!–

Description

–>

INT helps detect, prevent, and deter fraud and corruption in the use of the WBG’s financial resources, so that those resources are used effectively to benefit the poor people that they are intended to reach. Reducing fraud and corruption in WBG projects helps to ensure that WBG funds are used for their intended purposes: to alleviate poverty and boost our clients’ shared prosperity and stability, on a livable planet. Working with others in international development institutions, INT aims to measurably minimize development assistance funds lost to fraud, corruption, and abuse, and increase the quality and results of development efforts. To ensure its independence, INT’s Vice President (VP) reports directly to the President of the WBG.

To achieve this, INT works closely with other stakeholders across the WBG to:

Help detect, prevent, and deter fraud and corruption in WBG-supported projects and activities by: 

• professionally investigating allegations of fraud, corruption, collusion, coercion, or obstruction (the five Bank-sanctionable practices) in WBG activities; 
• seeking Bank sanctions against firms and individuals that have engaged in any sanctionable practice; 
• using information available to INT to help operational staff design and implement projects in ways that minimize fraud and corruption risks;
• working with the WBG’s operational departments and other oversight and control units to help prevent fraud and corruption in operations by distilling lessons from investigative findings, developing effective risk identification and management tools, making recommendations to address risks and issues identified through investigations, and ensuring timely disclosure to the Board of risks identified through ongoing or recently completed investigations that are of relevance to new operations presented for Board approval;
• conducting detailed fiduciary reviews of Bank-supported projects with operations, using forensic methodology to detect indicators of fraud or corruption, so that they can be addressed early as possible for better project outcomes; and
• through INT’s Integrity Compliance Office, supporting and monitoring sanctioned entities’ efforts to put in place appropriate integrity compliance programs, in order to raise their integrity standards and reduce risks associated with their operations following their release from sanction.

Help client countries to fight fraud and corruption by:

• referring investigative findings to investigative and enforcement authorities in impacted countries, and working with authorities, as requested and appropriate, to follow-up and act; 
• supporting client country counterparts with their preventive and integrity risk mitigation efforts at the project and policy levels; 
• helping build client country capacity in preventive and forensic techniques; and
• collaborating in multilateral efforts to mitigate the risks of fraud or corruption in development activities.

Enforce the highest standards of professional integrity and ethical behavior among WBG staff and corporate vendors by:

• investigating allegations of staff misconduct involving fraud and corruption; 
• investigating corporate vendors alleged to have engaged in sanctionable practices; and 
• mining the lessons from those investigations to undertake training and outreach programs to strengthen the WBG’s internal controls environment.

Duties and Responsibilities:

The Data Engineer will report to INT’s Data Lab Team Lead to perform data quality assurance and generate corporate reports using core information systems across the VPU. 

The duties include but are not limited to: 

• Design, develop, and maintain scalable data pipelines to support business analytics and reporting requirements.
• Perform periodic and ad-hoc reporting to support business decision-making and strategic planning.
• Conduct data quality assurance (QA) to ensure accuracy and completeness of data.
• Analyze large datasets to extract meaningful insights and identify trends, patterns, and anomalies.
• Create and maintain Tableau dashboards and visualizations to present data insights.
• Collaborate with stakeholders to gather and refine data requirements for various projects and reports.
• Optimize existing data pipelines and queries for performance and efficiency improvements.
• Develop and maintain comprehensive documentation for data sources, transformations, and reporting processes.
• Collaborate with ITS on resolving data quality issues and test enhancements to enterprise solutions such as content management system.
• Collaborate with Data Lab team members to provide data analytics support to frontend and backend developers.

The Data Engineer will deliver the following outputs and tasks:

• Build Scalable data pipelines that can handle varying data volumes and are scalable according to future needs.
• Prepare detailed QA reports ensuring accuracy, completeness, and reliability of data.
• Build interactive and up-to-date Tableau dashboards that effectively present data findings.
• Prepare comprehensive documentation covering data sources, transformations, and the full reporting process.
• Resolve data quality issues and report content management system functionality issues to ITS and test the fixes and inform end users.
• Generate Periodic and Ad hoc reports to support business decision-making and strategic planning.

Selection Criteria:

• Advanced university degree, and/or equivalent, in public administration, computer science, information technology, or related fields (e.g., international relations, economics, data analytics, information management) with at least four years of demonstrated professional experience in the field of data analytics/quality assurance.
• 4 years of proven experience as a Data Engineer or in a similar role, with a track record of successful data pipeline development.
• Demonstrated expertise in Python and SQL for data manipulation and analysis.
• Ability to work closely with cross-functional teams and stakeholders to understand and meet their data needs.
• Solid problem-solving skills and the ability to troubleshoot data-related issues effectively.
• Excellent communication skills, both written and verbal, to clearly convey technical information and insights.
• Self-motivated, detail-oriented, and able to manage multiple tasks and projects concurrently.

Source: https://worldbankgroup.csod.com/ats/careersite/JobDetails.aspx?id=28700&site=1

<!—

<!–

–>