Data Analyst at United Nations Environment Programme (UNEP)

Responsibilities

• Participates in the development, implementation and evaluation of assigned programmes / projects related to Umoja Analytics (SAP Self Service Analytics) and Business Intelligence implementation in UNEP.
• Locate and define new data analysis process improvement opportunities for the UNEP Enterprise Data Warehouse.
• Identify appropriate data sources for analytics projects.
• Collaborate with data engineers and data scientists to improve data flows, data quality, etc.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality in the context of the UNEP Enterprise Data Warehouse.
• Identify, analyze, and interpret trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data.
• Develop and implement various corporate level analysis, reporting, dashboard and quality control capabilities to identify trends, patterns and insights.
• Performs other duties as required.

Education

• Advanced university degree (Master’s degree or equivalent) in computer science, data science, information technology, analytics, statistics, information management, management or a related field is required.
• A first-level university degree with a combination of two years professional experience and academic qualifications may be accepted in lieu of the advanced university degree.

Work Experience

• A minimum of five (5) years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, project management, stakeholder management or related area is required.
• Experience in using data to inform decisions, strategies and execution is required.
• Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), or business intelligence tools (SAP Business Objects, etc.) is required.
• Experience with database or programming languages (SQL, Python, R) is required.
• Experience in tools managing version control such as Git as well as in the design and implementation of enterprise data warehouse is desirable.