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World Food Programme is looking for a Chief Senior Analyst Officer.
Accountabilities / responsibilities:
The Chief Senior Analyst leads the Performance Analysis Cell in providing value-added analysis and insight enhancing planning, budgeting and performance management services and products, with three core objectives:
Deliver insightful analysis addressing strategic effectiveness and efficiency questions to enhance planning, budgeting and performance management products led and managed by accountable CPP units such as the Corporate Results Framework, pipeline updates, Management Plan, periodic beneficiary management updates, periodic resource utilization updates, and the APR
Contribute planning, budget and performance analysis to SRAC resource allocation decision-making and oversight
Improve accountability and transparency across the performance cycle by leveraging data for cross-functional analytics and visualization tools via corporate dashboards, and scorecards
Main activities include:
Under the supervision of Director of CPP, the Chief Senior Analyst will perform the following functions:
Define product requirements and objectives in collaboration with CPP management and liaising closely with relevant stakeholders
Advise on analytic methodology and data availability for production of quality analysis and advisory services and products
Develop requirements for data retrieval and production of visualization for analysis.
Liaise and coordinate with Managers responsible for data management to ensure workflow, obtain permissions for data access, identify and resolve data bottlenecks, and ensure coherence of analysis and veracity of data interpretation
Oversee the drafting of analysis, presentations and communications tailored to the specific needs of target audiences for AED RM/CFO and CPP delivery
Provide verbal, written and digital analytic briefs as required
Lead Performance Analysis Cell team in work-planning, implementation, production, review and continual improvement of analysis products
Develop a PAC communication and advocacy strategy and lead the PAC team in its implementation
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Any other business as required
Minimum qualifications:
Experience:
7 years or more of relevant progressive work experience in data management, data architecture, data governance, data analysis and/or relevant fields
Experience working with data analysts or business data analysts
Proven experience in data visualization
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Ability to understand the problems that are happening and extrapolate them to a higher level across systems for impact assessment
Knowledge of statistics
Understanding of data models, data mining, reporting packages, databases, programming
Adept at report writing and presenting findings in data visualization
High degree of adaptability and successfully manage the daily challenges of a technical environment
Strong collaboration and communication skills, ability to work in multicultural settings
Knowledge sharing and continuous improvement
Education:
Advanced university degree in Computer Science, Engineering, Information Technology, or other relevant field, or First University degree with additional years of related work experience or trainings / courses. Certifications from top tech companies or universities is a plus
Language:
Fluency (level C) in English language is essential
Intermediate knowledge (level B) of a second official UN language: Arabic, Chinese, French, Russian, Spanish, and/or WFP’s working language, Portuguese
Desidered for the role:
Knowledge of budgeting process and budgeting / performance management terminologies
Has formed strong relationships with WFP stakeholders to help meet business objectives
Has partnered with colleagues across WFP to understand their priorities and provide expert advice
Experience using statistical packages for analysing datasets.
