Job
- Level
- Experienced
- Location
- Bonn
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will conduct comprehensive data analyses, create dashboards and database applications, and support the optimization of business processes to enhance organizational performance.
Job Technologies
Your role in the team
- Undertake research, data collection, and analysis related to organizational performance, organizational effectiveness, and business process reviews.
- Undertake end-to-end data analysis workflows from data collection, data wrangling, data exploration, data modelling, data analysis, data communication, and visualization.
- Create and maintain databases, dashboards, and data management workflows in coordination with BMS/ITM as applicable.
- Develop methodologies, tools, and software applications related to data analysis and organizational performance.
- Make continuous improvements to organizational performance analytics.
- Support forward-looking analysis on organizational performance to highlight opportunities for MCT engagements.
- Undertake research, data collection, analysis and visualization of information from diverse sources in support of MCT client engagements, including financial modelling and statistical analysis.
- Support development of technical proposals, business cases, and implementation plans/roadmaps.
- Support preparation for and participate in interviews, focus groups and workshops as required.
- Support drafting of written outputs and end-of-engagement reports, as required.
- Follow up with engagement clients on recommendations, as required.
- Proactively seek, analyze, and apply data sets relevant for MCT engagements.
- Maintain MCT's data and knowledge platforms, including dashboards.
- Develop and maintain MCT's codebase, database, and data management tools and workflows.
- Contribute to the development of templates and standard operating procedures.
- Perform administrative support functions to ensure smooth operations.
- Support internal coordination, communication, and knowledge management efforts.
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Our expectations of you
Education
- Advanced University Degree (Master's Degree or equivalent) in Data Science, Statistics, Computer Science, Computational Sciences, Business Administration, or related fields, is required, or a first-level university degree (Bachelor's Degree) in the above-mentioned areas with an additional 2 years of relevant work experience will be considered in lieu of the master's degree.
- A minimum of two (2) years with a Master's degree or four (4) years with a Bachelor's degree of progressively relevant work experience in research, data collection, analysis, and supporting business transformation engagements is required.
Qualifications
- Advanced knowledge of spreadsheet and database packages, data modelling, statistical analysis and visualization tools required (e.g. SQL, R, Power BI) is required.
- Exposure to international development work is an advantage. Knowledge of the UN/UNDP system is desirable.
- Fluency in English is required. Working knowledge of another UN language is desirable.
Experience
- Knowledge and experience of data science/analytics methodologies and approaches is required.
- Demonstrierte Erfahrung mit Datenbank- und Cloud-Computing-Plattformen (z. B. Azure, Fabric) ist wünschenswert.
- Demonstrated hands-on experience in programming languages, libraries and frameworks for use in data science/analytics (e.g. Python, D3.js, DAX) is required.
- Knowledge of practical applications of predictive analytics and generative AI desirable, including experience assessing and validating AI-generated outputs to ensure accuracy, relevance, and consistency.
- Experience in performance improvement, business process reengineering, organizational effectiveness/organization development, process consultation, or management consulting is a distinct advantage.
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What we offer
- As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization.
- Our employment decisions are based on merit and suitability for the role, without discrimination.
- UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.
- UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination, and abuse of authority.
- All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.
- For all new UNDP fixed-term appointments (FTA), including for staff members being transferred or seconded to UNDP under the Inter-Organization Agreement concerning Transfer, Secondment or Loan of Staff, on an appointment of more than one year, continuation of the appointment beyond the initial 12 months is contingent upon the successful completion of a probationary period.
- UNDP reserves the right to select one or more candidates from this vacancy announcement.
- We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.
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Topics You Will Work On
Job Locations
About Your Employer
United Nations Development Programme
The United Nations Development Programme (UNDP) operates in approximately 170 countries and territories to combat poverty, reduce inequality, and enhance resilience to crises. It provides policy advice, builds capacities, and coordinates technical cooperation within the UN system. As a global network, it connects governments, communities, and partners for sustainable development.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- NGO, NPO, Associations
Management Data Analyst
- Location
- Bonn
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
