E T Consultant (Data Analyst)

Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org ITS Vice Presidency Context: 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 Role purpose: The Data Analyst is responsible for analyzing data assets to support organizational decision-making. With guidance, this role assists in the design and execution of data analytics initiatives, supports collaboration with stakeholders, and supports the development of statistical models, predictive models and machine learning techniques to solve complex business problems. Key Responsibilities: Analytics Integration 1. Supports analytical services or operational work in core areas of data science. 2. Assists with the development of a data governance framework that includes clear guidelines for data classification, ownership, and stewardship. 3. Leverages statistical concepts, practice, and theory, and knowledge of probabilities to support stakeholders in identifying key operational issues and optional solutions. Solutions Design and Implementation 1. Supports the delivery of data, research and evidence-based solutions for institutional directions and strategic vision. 2. Collaborates to develop data solutions and market knowledge and ensure continuous processes improvements. 3. Assists with the development of data models and manages data processing and cleaning, supporting quality assurance and data visualization. 4. Supports the development of machine learning and AI tools to accelerate reasoning and analysis to support decision making. Business Analysis: 1. Collects and documents business requirements, including establishing acceptance and evaluation criteria 2. Defines configuration specifications and business requirements to ensure alignment with roadmap objectives Agile: 1. Helps teams self-organize, self-manage, and deliver via effective SAFe Agile methods 2. Assist in the preparation process for PI planning, and drafts PI plans in coordination with the Agile team 3. Tracks team progress and utilize metrics to identify areas for enhancement Communication and Narrative 1. Help translate technical analyses in core areas of data science into recommendations for programs, policies, and strategies for social and economic development. 2. Supports the adoption and suggestion of new concepts and ideas to from inside and outside the organization to optimize data solutions.