Management Data Analyst [Open to internal and external applicants]
Organizational Context
The United Nations Development Programme (UNDP) Bureau for Management Services (BMS), specifically the Office of Human Resources (OHR) Management Consulting Team (MCT), supports global offices in enhancing strategic and organizational effectiveness. Based in Bonn, the MCT comprises management advisors and consultants delivering services worldwide to improve agility and align with UNDP's Strategic Plan.
Job Purpose
The Management Data Analyst supports overall organizational effectiveness by contributing to advisory engagements led by the Management Consulting Team (MCT). This role involves conducting research, collecting and analyzing data, developing analytical tools and applications, and managing databases. The analyst will collaborate with team members to develop content and deliver services, focusing on client needs, quality, and results. The position contributes to UNDP's portfolio approach, leveraging multidisciplinary teams for integrated responses to development challenges and fostering horizontal collaboration across units and projects.
Responsibilities
Key responsibilities include conducting research, data collection, and analysis to support organizational effectiveness, focusing on performance, effectiveness, and business process reviews. This involves managing end-to-end data analysis workflows, from collection and wrangling to modeling, analysis, communication, and visualization. The role requires creating and maintaining databases, dashboards, and data management workflows, as well as developing methodologies, tools, and software applications for data analysis and performance improvement. Additionally, the analyst will participate in client advisory engagements, contributing to business transformation initiatives by analyzing diverse data sources, supporting proposal development, and assisting in report drafting. Data and knowledge management, including maintaining platforms and developing standard operating procedures, are also key functions.
Work Experience
A minimum of two years of relevant experience with a Master's degree, or four years with a Bachelor's degree, is required in research, data collection, analysis, and supporting business transformation. Experience with data science/analytics methodologies, advanced knowledge of data analysis and visualization tools (e.g., SQL, R, Power BI), and hands-on experience with programming languages (e.g., Python) are essential. Experience with database and cloud platforms (e.g., Azure, Fabric) is desirable.
Skills
Proficiency in data collection, sorting, cleaning, survey administration, presentation, and reporting. Ability to analyze business processes and requirements. Expertise in data management and analytics, including structuring data, developing dashboards, and visualizations. Familiarity with machine learning, AI, and predictive analytics. Strong business acumen and ability to make sound judgments. Competence in working with evidence and data for decision-making. Client management skills, including timely and appropriate responses, and anticipating client needs.