Online Volunteer

Job Posting Organization:
The United Nations Volunteers (UNV) programme is dedicated to contributing to peace and development through volunteerism. Established with the belief that volunteerism can significantly transform the pace and nature of development, UNV operates with the conviction that everyone has the potential to contribute their time and energy towards fostering peace and development. The organization advocates for volunteerism, integrates it into development planning, and mobilizes volunteers across various initiatives. UNV is inspired by the enormous potential of volunteerism, which serves as a driving force for both the organization and volunteers globally. The Information & Communication Technology Section (ICTS) within UNV is responsible for managing the ICT resources at UNV Headquarters located in Bonn, Germany, and plays a crucial role in supporting the organization's mission through technological advancements.

Job Overview:
The UNV ICTS Data Team is currently seeking an Online Volunteer to assist in the automation of financial data analysis utilizing artificial intelligence techniques, among other methodologies. The primary objective of this project is to enhance the efficiency of processing and analyzing financial data, which will lead to quicker and more precise insights for decision-making processes. By employing data science techniques, the project aims to streamline the financial reporting reconciliation process, ensuring that financial data validation is both accurate and efficient. The Online Volunteer will play a vital role in this initiative, collaborating closely with the UNV ICTS Data Team to achieve these goals.

Duties and Responsibilities:
The Online Volunteer will be tasked with collaborating with the UNV ICTS Data Team to implement an existing Python-based script system designed to automate the cleansing of financial data and the mapping of financial transactions to volunteer assignments. The responsibilities include: - Working on the integration of various technologies to create a prototype that automates financial data processes. - Developing a backend process that links financial transactions with volunteer assignments, ensuring that the system is efficient and user-friendly. - Testing and refining the prototype to ensure it meets the required standards for accuracy and efficiency. - Providing feedback and suggestions for improvements based on the testing outcomes. - Documenting the process and outcomes to facilitate future enhancements and training for other team members.

Required Qualifications:
Candidates should possess a strong understanding of Python programming, particularly in the context of data analysis and automation. Familiarity with artificial intelligence techniques and their application in financial data processing is highly desirable. Additionally, candidates should demonstrate problem-solving skills, the ability to work collaboratively in a team environment, and a proactive approach to learning and applying new technologies. Strong communication skills are essential for effectively collaborating with team members and presenting findings.

Educational Background:
A background in computer science, data science, information technology, or a related field is preferred. Candidates should have relevant coursework or experience that demonstrates their ability to work with data analysis and programming, particularly in Python. Any additional certifications or training in data science or artificial intelligence would be advantageous.

Experience:
While specific years of experience may not be required, candidates should have practical experience in programming with Python and familiarity with data analysis techniques. Experience working on projects that involve financial data processing or automation will be considered a significant asset. The ability to demonstrate previous work or projects related to data science will strengthen the application.

Languages:
Proficiency in English is mandatory, as it is the primary language of communication within the UNV ICTS Data Team. Knowledge of additional languages may be considered a plus, particularly if they are relevant to the UN's operational regions.

Additional Notes:
This position is offered as a volunteer opportunity, and as such, it may not provide financial compensation. The role is designed to be flexible, allowing volunteers to contribute remotely, which can accommodate various schedules. The duration of the volunteer engagement is not specified, but it is expected to align with the project's timeline and deliverables. Volunteers will gain valuable experience working with an international organization and have the opportunity to enhance their skills in data science and financial analysis.