UNOPS is looking for a Data Analyst to join the ITG Data team (IICA2) and be dedicated to the PID programme. The Data Analyst will build reports in SQL leveraging data in BigQuery, develop dashboards, programme management and reporting tools to support the successful planning and implementation of the PID programme.
Ideal candidates are self-starters, who take initiative to improve PID data analysis and reporting and are able to demonstrate both technical expertise and business acumen. They won’t necessarily be experts in procurement, finance, HR or project management, but they have the ability to pick up a project in any of these fields and deliver accurate, cohesive analysis and data products.
They will also help to build data literacy in the organization by sharing their knowledge and expertise. The key functions of the role include:
Technical support Assist with conducting analyses on complex and co...
Candidates with a high school or secondary school diploma (minimum requirement) should demonstrate a minimum 6 years of relevant work experience
Candidates with a technical or professional diploma should demonstrate a minimum 4 years of relevant work experience
Candidates with a Bachelor’s degree or equivalent should demonstrate a minimum 2 years of relevant work experience
Preferred academic qualifications and/or certifications should be in the field of Statistics, Mathematics, Data Science, Computer Science, Information Systems, Engineering, Economics or equivalent
A minimum of two years of professional experience in analysis and/or evaluation of business-related data and/or statistics is required.
A minimum of 2 years of experience in SQL skills are required.
Advanced knowledge of and experience using the Google Cloud Platform (GCP) (including Big Query) and advanced ANSI SQL skills are desirable.
Experience in business statistics, data management, analysis, visualization and modelling is desirable, ideally with a focus on one or more of the functional areas for UNOPS (e.g. infrastructure, procurement, project management, human resources, financial management, and other management services)
A high level of expertise in spreadsheet tools (e.g. Google Sheets, Microsoft Excel) is desirable.
Experience with artificial intelligence/machine learning methods and tools, particularly in the GCP environment is an asset.
Experience in large-scale digital transformation would be an asset.
Full working knowledge of English is essential.
Knowledge of another official UNOPS language (French, Spanish) is an asset.