ICT Data Systems Analyst (Remote)

Volunteering IT & Telecom

Overview

Provide technical support for data and business intelligence activities.

You have:

• Relevant experience in programming, databases, and data systems is preferred
• Ability to write scripts to automate repetitive tasks (e.g., Python, PowerShell etc)
• Experience working with tools like Excel, Pandas (Python), or other libraries for data cleaning and transformation
• Proficiency in at least one programming language commonly used in data engineering, e.g. Python, SQL
• Strong analytical skills with the ability to interpret and process structured and unstructured data
• Demonstrated ability to troubleshoot technical issues and find efficient solutions
• Keen eye for detail to ensure data accuracy, consistency, and quality
• Familiarity with visualization tools like PowerBI or Matplotlib (Python) for presenting data insights

Contract

This is a UNV International Specialist contract. This kind of contract is known as International UN Volunteer. It is normally internationally recruited only. More about UNV International Specialist contracts.

The United Nations Volunteers (UNV) programme is administered by UNDP and follows all UNDP rules and regulations. UNV is the UN system common service that promotes volunteerism to support peace and development worldwide. Volunteerism can transform the pace and nature of development and it benefits both society at large and the individual volunteer. UNV contributes to peace and development by advocating for volunteerism globally, encouraging partners to integrate volunteerism into development programming, and mobilizing volunteers.

UNV’s Management Services hold the responsibility for the strategic planning, managerial leadership, oversight, and quality control of an integrated platform of operational services ensuring timely, effective and efficient delivery according to corporate performance standards and in compliance with the UN Regulations and Rules and UNDP´s accountability framework.

The ICT Section, part of the Management Services, is divided into three teams: the Infrastructure Team (Datacentre management and support services), the Systems Team (Development and maintenance of corporate applications) and the Data Team (Business Intelligence and Data Analytics). The incumbent provides technical support for the implementation of activities related to data and business intelligence, using various software tools.

The UN Volunteer is expected to work remotely for the duration of their assignment without the need to be physically present in the office.

UN Volunteers working remotely are bound by the UNV Code of Conduct, which includes the obligation to comply with local laws at their location, including vis-a-vis taxation, licenses, and work permits

For this special assignment, UN Volunteers are not eligible for exit lump sum and travel entitlements (assignment and repatriation travel).

Design and Optimize Data Infrastructure

• Maintain and evolve scalable data repositories (current/future data stores) to ensure seamless data flow and integrity
• Develop and execute complex SQL queries (Azure SQL) to extract actionable insights, while proactively identifying opportunities to enhance system interoperability and data exchange

Advanced Analytics & Strategic Insights

• Apply statistical techniques and analytical rigor to uncover trends, patterns, and correlations in complex datasets, translating findings into actionable recommendations
• Design ETL processes using Azure Data Factory to integrate data from diverse sources, ensuring high-quality datasets for reporting and decision-making

Business Intelligence & Innovation

• Generate dynamic BI reports using Power BI to visualize key metrics, enabling data-driven decision-making across volunteer management, finance, and operations
• Execute AI/ML initiatives to modernize data workflows, improve predictive analytics, and support UNV’s mission through cutting-edge technologies

Collaborative Problem-Solving

• Partner with cross-functional teams to prioritize information needs, troubleshoot data discrepancies, and deliver tailored solutions that align with organizational goals
• Train end-users on BI tools and reports, fostering a culture of data literacy and self-service analytics

Process Excellence & Documentation

• Streamline data governance by implementing robust databases, automated validation protocols, and standardized data collection systems
• Document technical workflows, functional specifications, and user guides to ensure transparency and knowledge-sharing across teams

Continuous Improvement

• Identify systemic inefficiencies and lead process innovation projects to enhance data quality, system performance, and stakeholder collaboration

• Accountability • Adaptability and flexibility • Creativity • Judgement and decision-making • Planning and organising • Professionalism • Self-management

Technical Skills

• Strong knowledge of Power BI for dynamic BI reporting and data visualization
• Proficiency in at least one programming language commonly used in data engineering, e.g. Python, SQL
• Familiarity with relational databases (e.g., MySQL, PostgreSQL)

Data Manipulation Tools (Desirable): - Experience working with tools like Excel, Pandas (Python), or other libraries for data cleaning and transformation.

ETL Processes: - Basic understanding of Extract, Transform, Load (ETL) workflows and data pipeline concepts.

Version Control: - Familiarity with version control systems like Git for managing code and collaboration.

Scripting and Automation: - Ability to write scripts to automate repetitive tasks (e.g., Python, PowerShell etc ).

Analytical and Problem-Solving Skills

Data Analysis: - Strong analytical skills with the ability to interpret and process structured and unstructured data.

Problem-Solving Mindset: Demonstrated ability to troubleshoot technical issues and find efficient solutions.

Attention to Detail: - Keen eye for detail to ensure data accuracy, consistency, and quality.

Systems and Tools

Cloud Platforms (Optional): - Exposure to cloud-based data tools (e.g., AWS, Azure, Google Cloud) is a plus but not mandatory.

Data Visualization Tools: - Familiarity with visualization tools like PowerBI or Matplotlib (Python) for presenting data insights.

Communication and Collaboration

Team Collaboration: - Experience working in team environments, contributing to shared goals and projects.

Technical Documentation: - Ability to document processes, workflows, and technical solutions clearly and concisely.

Stakeholder Communication: - Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders.

Foundational Knowledge

Understanding of Data Engineering Principles: - Basic knowledge of data modeling, data warehousing, and data integration concepts.

Exposure to Big Data Concepts (Optional): - Familiarity with big data technologies (e.g., Hadoop, Spark) is beneficial but not required.

Portfolio or Projects (Optional): Examples of personal or academic projects involving data processing, automation, or system design.

Soft Skills

Adaptability: - Willingness to learn new tools, technologies, and methodologies as needed.

Time Management: - Ability to prioritize tasks and meet deadlines in a dynamic work environment.

Curiosity and Initiative: - Eagerness to explore data-related challenges and propose innovative solutions.

Relevant experience in programming, databases, and data systems is preferred

This is a remote / home-based assignment You can check full entitlements at the duty station at https://app.unv.org/calculator. The complete UN Volunteer Conditions of Service is available at https://explore.unv.org/cos

Apply now

Potential interview questions

Added 1 year ago - Updated 11 months ago - Source: unv.org