SME - Statistical Methodology

SME - Statistical Methodology - Public Sector and Government

The role holder will ensure that all statistical methodologies meet international standards and deliver high-quality, reliable, and accurate statistics for internal and external stakeholders.

Client Details

SME - Statistical Methodology - Public Sector and Government - Tabuk

A leading giga-project based in Tabuk, KSA

Description:
SME - Statistical Methodology - Public Sector and Government - Tabuk

Statistical Methodologies:
* Lead the design, development, and implementation of statistical methodologies for official statistics, ensuring they align with international best practices and standards.
* Collaborate with data producers to ensure methodologies support the production of accurate, timely, and reliable statistics in key areas such as demographics, economics, and environment.
* Review and approve all methodological frameworks, ensuring they are scientifically sound and provide robust outputs.
* Conduct regular reviews and updates of statistical methodologies in response to evolving data requirements, technological advancements, and policy changes.
* Draw statistically representative samples and extrapolate results to a target population.
* Apply sophisticated statistical imputation methodologies to guarantee the completeness and consistency of statistical results.

Statistical Quality:
* Ensure that statistical processes adhere to the highest standards of statistical quality, focusing on the accuracy, coherence, and reliability of outputs.
* Develop and implement a statistical quality assurance framework to monitor and enhance the quality of statistical outputs.
* Collaborate with the statistical teams and the Statistical Quality Unit to conduct periodic assessments, quality checks, and audits of data collection, processing, and dissemination methodologies.
* Address issues related to statistical quality by recommending and overseeing corrective actions and improvements in methodology.
* Lead efforts to integrate international quality standards, such as those from the United Nations, the OECD, the IMF, and Eurostat, into statistical practices.

Collaboration and Innovation:
* Engage with cross-functional teams and external stakeholders to ensure alignment of statistical methodologies with the overall goals of data and statistics initiatives.
* Explore and adopt innovative approaches to statistical production, including the use of big data, administrative data, and new technologies to improve the relevance and efficiency of statistical outputs.
* Participate in national and international working groups, conferences, and committees related to statistical methodology and quality.

Job Offer:
A comprehensive package is on offer for the successful candidate.

Requirements: