Job Posting Organization: The United Nations Volunteers (UNV) programme is a global initiative that contributes to peace and development through volunteerism. Established to promote the value of volunteerism, UNV works with various partners to integrate qualified and motivated volunteers into development programming. The organization is administered by the United Nations Development Programme (UNDP) and reports to the UNDP/UNFPA/UNOPS Executive Board. UNV operates in numerous countries worldwide, advocating for volunteerism and mobilizing volunteers to support development efforts. The organization emphasizes the transformative power of volunteerism, benefiting both society and individual volunteers.
Job Overview: The UN Volunteer in this position will provide technical support for activities related to data and business intelligence. The role involves maintaining and evolving scalable data repositories to ensure seamless data flow and integrity. The volunteer will develop and execute complex SQL queries to extract actionable insights and identify opportunities for enhancing system interoperability. Additionally, the volunteer will apply statistical techniques to uncover trends in complex datasets, design ETL processes using Azure Data Factory, and generate dynamic BI reports using Power BI. This position requires collaboration with cross-functional teams to prioritize information needs and deliver tailored solutions, as well as training end-users on BI tools to foster a culture of data literacy.
Duties and Responsibilities:
Design and Optimize Data Infrastructure: Maintain and evolve scalable data repositories to ensure seamless data flow and integrity. Develop and execute complex SQL queries to extract actionable insights and enhance system interoperability.
Advanced Analytics & Strategic Insights: Apply statistical techniques to uncover trends and correlations in datasets, translating findings into actionable recommendations.
Business Intelligence & Innovation: Generate dynamic BI reports using Power BI to visualize key metrics and support data-driven decision-making. Execute AI/ML initiatives to modernize data workflows and improve predictive analytics.
Collaborative Problem-Solving: Partner with cross-functional teams to troubleshoot data discrepancies and deliver tailored solutions.
Process Excellence & Documentation: Streamline data governance by implementing robust databases and automated validation protocols. Document technical workflows and user guides for transparency and knowledge-sharing.
Continuous Improvement: Identify systemic inefficiencies and lead process innovation projects to enhance data quality and stakeholder collaboration.
Required Qualifications: Candidates must possess strong analytical skills, proficiency in SQL and data visualization tools such as Power BI, and experience with ETL processes. Familiarity with Azure Data Factory and statistical analysis techniques is essential. The ability to work collaboratively in a remote environment and communicate effectively with diverse teams is also required. Candidates should demonstrate adaptability, creativity, and a commitment to accountability and professionalism in their work.
Experience: Candidates should have a minimum of 2-3 years of experience in data analysis, business intelligence, or a related field. Experience working with large datasets and familiarity with cloud-based data solutions, particularly Azure, is highly desirable. Previous experience in a volunteer or non-profit organization is a plus.
Languages: Fluency in English is mandatory. Knowledge of additional languages, particularly those relevant to the UN's work, is considered an asset but not required.
Additional Notes: This is a remote/home-based assignment. UN Volunteers are expected to comply with local laws regarding taxation, licenses, and work permits. For this special assignment, UN Volunteers are not eligible for exit lump sum and travel entitlements. The complete UN Volunteer Conditions of Service can be found on the UNV website.
Info
Job Posting Disclaimer
This job posting is provided for informational purposes only. The accuracy of the job description, qualifications, and other details mentioned is the sole responsibility of the employer or the organization listing the job. We do not guarantee the validity or legitimacy of this job posting. Candidates are advised to conduct their own due diligence and verify the details directly with the employer before applying.
We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.