Job Opportunity: Assistant Statistics and Data Analysis Officer - UNOPS LICA-8

Explore this exciting opportunity to join UNHCR México in a role that supports crucial data initiatives for improving asylum processes. This position promises a dynamic work environment, comprehensive benefits, and the chance to make a significant impact.

Key Details

Position: Assistant Statistics and Data Analysis Officer (UNOPS LICA-8)

Target Start Date: 2024-07-01

Job Posting End Date: June 19, 2024

Contract Duration: Until 31/12/2024 with possibility of extension

Location: México

Important Information

This job position is open to both internal and external applicants. Please note the following:

• Candidates must be legally present in México at the time of application, recruitment, and hire.
• Only Mexicans or those with permanent residency or valid work permit in México are eligible.
• Proof of full COVID-19 vaccination is required prior to recruitment.
• Applications are welcome from all qualified candidates regardless of race, color, sex, national origin, age, religion, disability, sexual orientation or gender identity.
• Only short-listed candidates will be notified. The recruitment process may include a written test and/or oral interview.
• UNHCR does not charge any fee at any stage of the recruitment process.
• Remuneration includes a competitive compensation and benefits package along with comprehensive medical insurance and pension plans.

General Background

UNHCR México's Quality Assurance Initiative (QAI) team collaborates with COMAR (National Asylum System) to provide technical guidance and enhance the quality and efficiency of asylum procedures. The QAI team focuses on specific areas including Refugee Statistics, Registration, and RSD.

Purpose and Scope of Assignment

As the Assistant Statistics and Data Analysis Officer, you will support the implementation of a comprehensive data management and quality assessment package within COMAR’s Analysis and Statistics Unit by:

• Administering COMAR’s Ecosystem, including case management systems and new technological tools.
• Enhancing data governance, systems interoperability, and data visibility for internal and external reporting.
• Integrating external data sources (RENAPO, INEGI, etc.) to complement COMAR statistics.
• Building data analysis capacities and managing statistical information.
• Organizing training programs for national-level staff, including international standards for refugee statistics.
• Developing and delivering high-quality refugee statistics reports for internal and external use.
• Supporting software development and the administration of data science products.

Monitoring and Progress Controls

Collaborating closely with the UNHCR QAI team, the Registration Officer, and COMAR’s Statistics and Analysis Unit, the officer will ensure the provision and management of high-quality data to inform decision-making processes. Responsibilities include supporting daily data-related activities, developing visualization products and dashboards, and delivering specific products that enhance COMAR’s data reporting and analysis capacities.

Qualifications and Experience

Education

1-year relevant experience with an Undergraduate degree; or no experience with a Graduate degree; or no experience with a Doctorate degree in Social Sciences, Statistics, Demography, Geography/GIS, Epidemiology, Economics, Physical Sciences, Data Science, or related fields.

Work Experience

1 year in data or statistical field or relevant academic training. Knowledge of national and/or international statistical systems and data analysis, ideally in developmental or humanitarian contexts. Ability to translate planning specifications into technical briefs, and understanding various data collection methodologies.

Desirable Skills

Experience with refugee government authorities, data management, software development, and managing sensitive data. Proficiency in Microsoft Dynamics CRM, R, SPSS, MS Access, SQL, SSRS, Python, web design, MS Power BI, Redash, Tableau, and ETL processes.

Key Competencies

• Data Collection and Management
• Database Design & Development
• Data Analysis (Qualitative and