Head, Statistics Department Employment Opportunity – Bank of Uganda (BoU)

Job Title:  Head, Statistics Department

Organisation: Bank of Uganda (BoU)

Duty Station:  Kampala, Uganda

Reports to: Executive Director Research & Policy

Job Reference: STAT1.00

 

About US:

The Bank of Uganda (BoU) is the Central Bank of the Republic of Uganda. It was opened on the 15th August 1966. It is 100% owned by the Government of Uganda but it is not a government Department.  Bank of Uganda conducts all its activities in close association with the Ministry of Finance, Planning and Economic Development (MoFPED). Bank of Uganda is responsible for monetary policy and maintaining price stability.

 

Job Summary:  The Head, Statistics Department will provide timely and reliable statistical information on external sector statistics, monetary & financial statistics, real sector indicators; grants & public debt, government finance statistics, and their analyses to guide the macroeconomic policy decisionmaking process. The incumbent will undertake quality assurance and data dissemination of the statistics generated by the Bank and handle technical & administrative aspects of the Statistics Department.

 

Key Duties and Responsibilities: 

  • Provide leadership in producing, managing, and disseminating the above mentioned statistics in a timely and reliable manner.
  • Provide leadership on continuous identification, assessment and take actions to manage all risks and opportunities in the department.
  • Manage the delivery of data analytics, data management and curation, data systems engineering such as implementation of big data solutions and visualization.
  • Coordinate statistical issues with the Bank management, Uganda Bureau of Statistics, and other external stakeholders.
  • Establish, develop and maintain strategic partnerships with external data providers from the public, private and NGO sectors, among others.
  • Enhance staff competencies in producing, managing, and disseminating statistical information.
  • Coordinate with the Division Heads, to draw, implement, and monitor the annual work plan and the budget, and appraise staff in their performance of duty.
  • Chair the Departmental, technical, and risk management meetings and coordinate follow up actions on issues raised.
  • Represent the Executive Director Research and Policy at committee meetings in their absence, as delegated; and pursue any other duties prescribed from time to time by the Executive Director Economic Research’s office.

 

Key Outputs:

  • Reliable and timely statistics, regular reports and publications.
  • Statistical strategic plan.
  • Adequate, efficient and effective software to support data collection, processing and analysis.
  • Motivated, competent, & efficient staff and enumerators.
  • Well-coordinated surveys for generating relevant statistics.





Qualifications, Skills and Experience:

  • The ideal candidate must hold a First Class or Upper Second Class Honors degree in any of the following disciplines:- Statistics, Economics, Mathematics and Statistics, Quantitative Economics, Business Statistics, Actuarial Science, Data Science or another related quantitative field.
  • A Master’s Degree in any of the aforementioned areas.
  • A PhD in Economics, Mathematics or Statistics is an added advantage.
  • At least 15 years of professional working experience in the fields of statistics, economics and/or data management of which at least eight (8) years must have been at a Senior Management Level.
  • Applicants must not be above 55 years.
  • Three (3) year contract renewable based on performance

 

Competencies

Technical Competencies

  • Excellent knowledge of and ability to apply statistical or applied mathematical analysis techniques and tools, and expertise in use of Statistical Analytical Packages e.g., STATA, SQL, R programming, Microsoft Packages, E-VIEWS, PYTHON, MATLAB, PowerBi, Tableau among others.
  • Excellent knowledge of compilation of Balance of Payments (BOP), Monetary, Real sector and Public Finance statistics.
  • Proficiency in data management & storage, implementation of Big Data Analytics & solutions, data visualization, complex data manipulation, data validation & extraction and policy oriented writing skills using both structured and unstructured data.
  • Proficiency in building statistical predictive models and machine learning algorithms.
  • Strong core principles of research methods, survey formulation, design, data collection methods and proficient skills in developing, implementing and maintaining databases.
  • Possesses strong capabilities to maintain effective partnerships and working relations.
  • Strong abilities to provide objective and relevant statistical and data science leadership advise & management to various stakeholders.

Behavioral Competencies

  • Excellent communication and interpersonal skills and ability to maintain effective partnerships and working relations in a multicultural environment with sensitivity and respect for diversity
  • Strong management, organizational and leadership skills, and ability to motivate and manage a high-performing multidisciplinary team
  • Ability to exercise sound and expert judgment and initiative
  • Strong abilities in ensuring compliance with legal and ethical requirements in data management
  • Highly innovative, digital proficient and has ability for creativeness and flexibility in problem solving.
  • Strong competencies in performing tasks systematically and timeframe based.
  • Demonstrates commitment, punctuality and acts professionally and effectively.

 

How to Apply:

All applications should be forwarded to irecruitment@bou.or.ug stating the job reference number and job title in the subject line.

 

Note:

  • Applicants MUST use the standard BoU Curriculum Vitae form as their Curriculum Vitae format, Download Here. Candidates that use a CV Format other than that prescribed shall be disqualified. The BoU Curriculum Vitae form is available on the BoU website under the Careers Section.
  • Applicants MUST append scanned certified copies of academic credentials and professional training certificates to their applications to support their candidature.
  • Management reserves the right to terminate applicants found with concealed or falsified information and academic credentials.

 

Deadline: 17th August 2021

 

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