PSP Associate Data Analyst

tendersglobal.net

Job Description

The Global Operations team within PSP is responsible for coordinating fundraising activities and sets targets and reports on performance for the fundraising network. The incumbent is a member of the global Operations team and will support the team in further maintaining and improving the planning and reporting tools currently in place.

Purpose and Scope of Assignment:

Under the overall supervision of ICT Officer and Assistant PSP Officer, the incumbent will assist in the following:

  • Prepare quarterly reports templates and monitor the completeness and accuracy of quarterly reports submitted using the established reporting tools.
  • Consolidate quarterly reports.
  • Ensure that the reports in SharePoint are up to date.
  • Develop reports and visualizations based on business needs.
  • Assist in establishing and maintain local databases with the complete information.
  • Develop SQL queries, create tables, and stored procedure, views based on project requirements.
  • Knowledge of PowerBI and DAX or Oracle Analytics Cloud
  • Basic knowledge of Data Warehouse
  • Prepare templates and monitor the completeness and accuracy reports submitted.
  • Support the fundraising network end-users for established reporting queries.
  • Perform data analysis with large amounts of data: facts, figures to find conclusions.
  • Perform other related duties as required.
Qualifications and Experience:

Education: 

  • High School Degree required
  • Preferred Bachelor’s degree in fields like math, statistics, computer science, business administration and other relevant fields.
Work Experience:
  • Minimum 3 years of relevant working experience with a High School Diploma and 2 years of relevant working experience with a Bachelors, Master or Doctorate degree.
  • Previous working experience with the UN and/or exposure to work in similar contexts is considered an advantage.
  • Experienced in using Business Intelligence solutions (reports, dashboards, scorecards) using Power BI, SQL and Excel or Oracle technologies.

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