Data Officer

**Data Officer**

**Job #**:

- req33197

**Organization**:

- World Bank

**Sector**:

- Information Technology

**Grade**:

- GF

**Term Duration**:

- 2 years 0 months

**Recruitment Type**:

- Local Recruitment

**Location**:

- Chennai,India

**Required Language(s)**:

- English

**Preferred Language(s)**:
**Closing Date**:

- 6/10/2025 (MM/DD/YYYY) at 11:59pm UTC

**Description**

ITS Vice Presidency Context:
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.

**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.
- 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.
- Hands 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.
- Ability and flexibility to learn and adapt to a spectrum of data