Business Intelligence Analyst Finance and Budget Assistant

To achieve these objectives, the Development Coordination Unit seeks the expertise of a BI Analyst who will assist, in close coordination with the Corporate Services Division and relevant units through the following priorities.
Country Dashboards Upgrade – Maintain, refine and update the Country Dashboards – Phase 2 in line with emerging demands from end-users and perform any required improvements based on user feedback. And include project results and outputs as part of the data fields that can be extracted as IPMR reporting improves.
Dashboard development on CCA/CF and country presence– Develop complementary Power BI dashboards as per the unit’s corporate data needs covering portfolio, financials, donor contribution data per country, UNEP country presence (HR) per country, country categories, results reported.
Optimize UNCT Engagement Network internal processes – Support the assessment of current practices on user management, mailing lists, user analytics and recommend and implement where possible automatization of processes when possible.
IPMR Analysis & Advice to ensure data reliability – Documentation & contribution to the IPMR Data Dictionary & IPMR data extraction standardization. Conduct a review of the latest available corporate data sources and methodologies/business rules to have data at country level and propose recommendations for standardization or follow up, as required.

Qualifications/special skills

A first-level degree in computer science, data science, analytics, statistics, information management, public administration, management, or a related field is required.
A minimum of five years of experience in working with SAP Business Objects and SAP Analytics Cloud, demonstrating proficiency in utilizing these platforms for data analysis and reporting is required.
Furthermore, a minimum of five years of experience is required in Microsoft Power BI templates and design. Knowledge of UMOJA Self Service Analytics and IPMR is required.
Experience with database or programming languages, such as SQL, Python, or R, is desirable.

Deadline : May 30, 2024

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