Job Responsibilities

• Clean and manipulate raw data and prepare them for analysis; 
• Conduct exploratory data analysis (identify variance within data, look at novel ways to examine the data to tell different stories, explore multiple datasets for trends or outliers);
• Highlight data trends and analytic opportunities that can drive program innovations;
• Communicate and present findings from data analysis to range of audiences, this includes supporting knowledge sharing activities with internal and external partners;
• Establish appropriate systems and processes with the team for managing, analysing and presenting data.
• Develop and implement databases, data collection system, data analytics and other strategies that optimize statistical efficiency and quality;
• Participate in planning and implementing capacity building activities focusing on the above themes which includes activity design, development of training materials, and participation as resource speaker; and
• Conduct data analysis and writing for policy publications. The Data Analyst will be working with the IAT Economist and other team members in these publications.
• Support effective resource utilization and partnerships to enable timely and high-impact delivery focusing on achievement of the following results:
• Locate and define new process improvement opportunities;
• Develop recommendations for structuring and collecting data for program monitoring and evaluation;
• Identify new data sources and translate a range of datasets into easily accessible and useful information that supports program objectives e.g. through maps, dashboards, benchmarking techniques, BI tools, visualisation;
• Identify and collaborate with new potential partners of the project, and maintain productive relationships with existing partners, to ensure high impact delivery;
• Provide technical inputs in drafting terms of references (TORs), technical specifications, and/or programs of work; and
• Coordinate closely with project consultants, contractors, and suppliers and oversee their timeliness and quality.
• Primary support for knowledge building and management focusing on achievement of the following results: 
• Identification of sources of information related to programme implementation related issues;
• Identification and synthesis of good practices and lessons learned directly linked to the project;
• Support in maintaining an effective network with development partners and Government at national level and subnational level which includes conceptualization of and coordination for policy advocacy events;
• Conduct of quality assurance for all knowledge projects which includes checking technical soundness, compliance with UNDP knowledge product policies in terms of language, design, and protocols; and
• Sound contributions to knowledge networks and communities of practice.