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.