Job Summary
- Type: full-time
- Location: Harare
- Category: Statistics
- Closing Date: 2026-08-10
Key Responsibilities
- Developing a comprehensive provincial work plan aligned with the Agency’s annual workplan on censuses and surveys.
- Managing the Provincial Office and providing leadership to the provincial team.
- Ensuring all censuses and surveys meet specified deadlines and target response rates.
- Supervising and assuring quality during implementation of censuses and surveys within the province.
- Ensuring timely submission of provincial reports to Head Office.
- Preparing and submitting provincial budgets to Head Office on time.
- Managing finance, administrative, and human resource functions within the province.
- Leading staff mentoring, supervision, and performance management activities.
- Participating in and facilitating stakeholder meetings at provincial level.
- Creating networks and strengthening relationships with Ministries, Departments, Agencies, business organisations, and non-state actors within the province.
Requirements
- A First Degree in any of the following: Mathematics Statistics Operations Research and Statistics Population Studies and Demography Or an equivalent qualification with a quantitative bias
- A Master’s Degree in any of the following: Mathematics Statistics Operations Research and Statistics Population Studies and Demography Or an equivalent qualification with a quantitative bias
- Minimum 5 years working experience as a Statistician
How to Apply
About the Company
Zimbabwe National Statistics Agency (ZIMSTAT) is the statistics agency of Zimbabwe. It is headquartered in the Kaguvi Building in Harare.
Website: https://zimstat.co.zw/
Frequently Asked Questions
What are the typical qualifications and experience required for a Provincial Manager role at Zimstat?
Candidates typically need a Bachelor's degree in Statistics, Demography, Economics, or a related quantitative field. A Master's degree and proven experience in data collection, analysis, and team management, preferably within a government or statistics agency, are highly advantageous.
What would be the common day-to-day responsibilities for a Provincial Manager at Zimstat?
Daily tasks involve overseeing data collection activities, managing provincial staff, ensuring data quality, and liaising with local stakeholders. You would also be responsible for implementing national statistical programs at the provincial level and preparing regular progress reports.
What is the typical work culture and what are the expectations for a manager in a Zimbabwean public sector organization like Zimstat?
The work culture often emphasizes adherence to established protocols, collaboration across departments, and a strong commitment to public service. Managers are expected to demonstrate strong leadership, maintain professional integrity, and ensure efficient resource utilization while respecting hierarchical structures.
What are the realistic career progression opportunities for a Provincial Manager within Zimstat or the broader Zimbabwean public sector?
Successful Provincial Managers can realistically progress to senior management roles at the national level within Zimstat, such as Director or Deputy Director positions. Opportunities may also arise for cross-functional roles or special projects within other government ministries requiring statistical expertise.
What typical benefits packages, such as leave, medical aid, or pension, can a Provincial Manager expect from a Zimbabwean government institution?
Public sector roles in Zimbabwe generally offer a structured benefits package including generous annual leave, comprehensive medical aid coverage, and a defined pension scheme. Additional benefits might include housing or transport allowances, subject to government policies and the specific institution.
What key attributes do Zimbabwean employers, especially in the public sector, look for when hiring for a managerial role like this, and what is the typical application process?
Employers seek strong leadership skills, proven project management abilities, excellent communication, and a deep understanding of statistical principles and data governance. The application process typically involves submitting a detailed CV and cover letter, followed by competency-based interviews and possibly a technical assessment.