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U

Stastician

United Nations

Research, Teaching & Training

Today
New
Language Requirement: English Work Type: Full Time Working Hours: 8 to 5 Applicant Location: Kenya

Job descriptions & requirements

Education

  • Advanced university degree (Master's degree or equivalent) in statistics, mathematics, economics, sociology, demography or related field is required.

  • A first level university degree in combination with two (2) years of qualifying work experience may be accepted in lieu of the advanced university degree.

  • Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is desirable.

Work Experience

  • A minimum of seven (7) years of progressively responsible experience in statistics and data or related area is required.

  • The development of capacity building projects and conducting workshops for training and developing and promoting indicators for policy formulation is required.

  • Experience with the design and use of urban and housing indicators is required.

  • Experience the application of digital technology for statistics and data is desirable.

  • Experience in statistical projects and work experience in multilateral organisations is desirable.


Education

  • Advanced university degree (Master's degree or equivalent) in statistics, mathematics, economics, sociology, demography or related field is required.

  • A first level university degree in combination with two (2) years of qualifying work experience may be accepted in lieu of the advanced university degree.

  • Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is desirable.

Work Experience

  • A minimum of seven (7) years of progressively responsible experience in statistics and data or related area is required.

  • The development of capacity building projects and conducting workshops for training and developing and promoting indicators for policy formulation is required.

  • Experience with the design and use of urban and housing indicators is required.

  • Experience the application of digital technology for statistics and data is desirable.

  • Experience in statistical projects and work experience in multilateral organisations is desirable.


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