Budget & Programming Associate SC-6

Overview

Provide specialized support for the planning, monitoring, and analysis of project financial performance to enhance optimal use of financial resources. Focus on data analysis, process improvement, and development of analytical tools for decision-making.

Key Responsibilities

• Review budget plans, monitor and analyze project financial performance, identify trends, and provide recommendations.
• Analyze fund and grant balances, identify optimization opportunities, and recommend corrective actions.
• Support pipeline monitoring and analysis, identify risks, and support timely action.
• Improve BPU analytical and reporting processes by simplifying, standardizing, and automating activities.
• Develop and maintain analytical tools using Excel, Power Query, and Power BI.
• Maintain and review budget and planning information in corporate systems.
• Compile, analyze, and interpret financial and operational data for reports and visualizations.
• Liaise with relevant units and stakeholders on budget, resource, and data matters.
• Share knowledge and provide guidance to colleagues on analytical tools and working methods.
• Follow standard emergency preparedness practices.

Required Experience

Six or more years of progressively responsible relevant work experience. Post-secondary education can compensate for some years of experience. Three (3) years of work experience in combination with a Master’s Degree; Four (4) years of work experience in combination with a Bachelor’s Degree. Demonstrated experience in data analysis and development of analytical tools, preferably within budget, finance, resource management, programme or operational functions. Experience supporting budget preparation, financial analysis, forecasting, resource management, pipeline monitoring and/or operational planning, preferably using ERP or corporate financial systems.

Qualifications

Completion of secondary school education with a post-secondary certificate in a related area. A university degree in finance, economics, business administration, statistics, data analytics, information management or another relevant field is desirable. Additional training or certification in data analytics, business intelligence, advanced Excel, Power BI or related areas is an advantage.

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