Data Officer

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Description

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The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video:https://www.youtube.com/watch?reload=9&v=VTFGffa1Y7w

ITS shapes its strategy in response to changing business priorities and leverages new technologies to achieve three high-level business outcomes: business enablement, by providing Bank Group units with innovative digital tools and technologies to transform how they deliver value for their clients; empowerment & effectiveness, by ensuring that all Bank Group staff are connected, able to find information, and productive to accelerate the delivery of development solutions globally; and resilience, by equipping the Bank Group to provide risk-based cybersecurity and robust data protection for a global network and a growing cloud platform.

Implementation of the strategy is guided by three core principles. The first is to deliver solutions for business partners that are customer-centric, innovative, and transformative. The second is to provide the Bank Group with value for money with selective and standard technologies. The third principle is to excel at the basics by providing a high performing, robust, and resilient IT environment for the organization.

As a unit within the WB DataOperations and Technology office (ITSDOITSDOCorporate (ITSOC), the Data and Analytics unit (ITSDA) provides state-of-art information and technology applications to support the operations of the World Bank Group. Functions provided data, Information Managementensure that the systems meet the business needs of users and AI solutionsexternal clients to manage business processes for stakeholders across World Bank. The current technology landscape encompasses Cloud-based data platforms (Azure and AWS), Oracle, SQL Server, Business Objects, Tableau, Cisco Information Server (Composite), SAP BW/Hana, Informatica, .Net, HTML 5, CSS Frameworks, SharePoint and many others. Our plans are to migrate our on-prem data repositories and re-engineer based on new Cloud architectures in the coming years.

Responsibilities:

• • Perform data analysis and create reusable assets for our Data & Analytics Portal, i.e., dashboard, data visualization & reports, including ad-hoc requests from clients.
• • Analyze large datasets to identify trends, patterns, and insights, utilize tools and techniques to understand patterns. 
• • Ability to quickly grasp business insights and navigate through the data structures to assess the issue. 
• • Reverse engineering from reports, dashboards and applications through medallion architecture understand the business logic and document them. 
• • Work with cross-functional teams to understand data needs and provide analytical support.
• • Develop solutions based on data analysis to address business challenges and Identify opportunities for process improvements through data insights.
• • Document data processes, methodologies, and findings for future reference and maintain clear records of data sources and analysis methods.
• • Identify and categorize source data (where the data originates) and establish a clear mapping between source and target fields.
• • Analyze how changes will affect existing processes or systems and identify stakeholders impacted by data migration or integration.  
• • Develop validation checks to ensure data integrity post-migration and Conduct testing to confirm that the target meets requirements. 
• • Maintain comprehensive documentation of the analysis process and record decisions made, issues encountered, and resolutions.
• • Work closely with data engineers to understand the target structures and design the semantic layer conducive for analytics. 
• • Work closely with Data governance team and business stakeholders to document the data elements metadata and report metadata. 
• • Compare source and target data structures to identify discrepancies and assess data quality issues, such as duplicates, missing values, or inconsistencies.
• • Develop test plans, test scripts, automation procedures to test data and report quality
• • Contribute, develop and maintain Enterprise Data Model
• • Actively seeks knowledge needed to complete assignments and shares knowledge with others, communicating and presenting information in a clear and organized manner.
• • Develop, maintain, support AI/ML models in support of various analytical and data science needs

Selection Criteria:

• • Master’s degree with 5 years’ experience OR equivalent combination of education and experience in relevant discipline such as Computer Science.
• • Minimum 3 years of experience in each of the following areas: (i) SQL, Python, R or any programming language (ii) Reports and Dashboard (iii) Building analytics and troubleshooting issues (iv)Data Analysis.
• • Ability to understand business requirements, decode it into data needs, correlate it with business processes and develop reporting, data requirements, data models etc.
• • Excellent and proven skills in data modelling, data integration and understanding different ways of designing data schema.
• • Hands on experience with cloud platforms covering Power BI platform & Tableau and covering on-prem Business Objects. 
• • ands on experience in building semantic layer encompassing complex logic to accommodate reporting requirements. 
• • Good understanding on SAP BW/SAP HANA structures and decoding of business rules to migrate to Modern Cloud platforms.
• • Knowledge of advance SQL programming skills to perform complex operations and data programming on large amount of data stored in data warehousing or lakes.
• • Strong understanding of row and column-level security in the semantic layer to facilitate smooth reporting.
• • Work with application team leads to refine and tighten the security framework and access control for internal and external data access points
• • Ability and flexibility to learn and adapt to a spectrum of data technologies running on multiple platforms primarily on the Semantic layer modelling, Report building, API’s and Dashboards. 
• • Knowledge of building data warehouse applications in Hybrid environment both on-cloud and on-prem and ability to keep up to date with Cloud offerings and solutions in a global delivery environment.
• • Ability to participate and collaborate within and across teams in developing options, roadmaps, evaluations, decision frameworks for complex enterprise solutions.
• • Deep Experience in implementing and maintaining some of these tools such as Informatica Intelligent Cloud Services (IICS), Tableau, Tibco Data Virtualization, Collibra, Informatica MDM, Data Bricks, NoSQL Databases, PostgreSQL and Azure technologies is preferrable.
• • Experience working on AI/ML, data science models is preferred. 
• • Proven experience in evaluating best of the breed tools in Data & Analytics and work closely with the leadership team to come up with pro and cons is preferred.
• • Actively seeks knowledge needed to complete assignments and shares knowledge with others, communicating and presenting information in a clear and organized manner.
• • Proven experience of working and navigating in teams with offshore/onsite model and collaborate across teams to build/maintain complex IT landscapes, and diverse client bases.
• • Experience in finance, human resources, resource management, loans, and travel is preferred.
• • Experience in writing unit/integration tests, work in agile iterative approach towards building products and documents work.
• • Ability to deliver information effectively in support of team or workgroup. Excellent communication, writing/documentation, and facilitation skills.
• • Ability to juggle multiple tasks in a fast-paced environment, and the maturity to participate in multiple complex programs at the same time in an agile environment.

Source:  https://worldbankgroup.csod.com/ux/ats/careersite/1/home/requisition/33197?c=worldbankgroup&sq=req33197

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