Technical Analyst, Population data and estimation in humanitarian settings, Population & Development Branch, Technical Division, New York, P2

Contract

This is a P-2 contract. This kind of contract is known as Professional and Director staff. It is normally internationally recruited only. It's a staff contract. It usually requires 2 years of experience, depending on education.

Salary

The salary for this job should be between 108,633 USD and 147,551 USD.

Please keep in mind that the salary displayed here is an estimation by UN Talent based on the location and the type of contract. It may vary depending on the organization. The recruiter should be able to inform you about the exact salary range. In case the job description contains another salary information, please refer to this one.

The Position: The Technical Analyst, Population data and estimation in humanitarian settings post is located in the Population and Development Branch of the Technical Division, HQ. S/He provides technical support to meet the data needs of UNFPA in the areas of population dynamics and projections, population estimates for humanitarian preparedness and response, and population estimates relevant to UNFPA programming. The incumbent will work with PDB Technical Advisers, under the direct supervision of the Technical Specialist for Health and Social Inequalities, and the overall direction of the Chief, Population and Development Branch. The Technical Specialist works within an integrated, coordinated, and systems strengthening approach which is fundamental to the Division’s and UNFPA’s overall strategy.

How you can make a difference: UNFPA is the lead UN agency for delivering a world where every pregnancy is wanted, every childbirth is safe and every young person's potential is fulfilled. UNFPA’s new strategic plan (2018-2021), focuses on three transformative results: to end preventable maternal deaths; end unmet need for family planning; and end gender-based violence and harmful practices. In addition, UNFPA developed an Operational Plan on Leaving No One Behind (LNOB) and reaching the Furthest Behind, which provides UNFPA with a road map to translate into action ts ambition to reach the furthest behind as a central tenet of its new Strategic Plan 2022- 2025. In a world where fundamental human rights are at risk, we need principled and ethical staff, who embody these international norms and standards, and who will defend them courageously and with full conviction. UNFPA is seeking candidates that transform, inspire and deliver high impact and sustained results; we need staff who are transparent, exceptional in how they manage the resources entrusted to them and who commit to deliver excellence in programme results

Qualifications and Experience Education: Post-graduate university degree or equivalent in the quantitative social sciences, such as public health epidemiology, statistics, demography, sociology, economics, data science, or related discipline. The graduate or post graduate degree should be directly related to the substantive area identified in the post.

Knowledge and Experience: ● At least 2 years of experience in data collection, analysis, visualization, dissemination, database management and research within an academic or development institution in an international setting ● Strong knowledge of statistical methodologies, including strong competencies in the use of statistical packages such as R, Python, or STATA. ● Experience in constructing subnational population projections in low- and middle-income countries ● Familiarity and/or experience working with refugee and internal displacement data from international humanitarian settings is an asset ● Mastery of demographic methods and statistical techniques for data quality assessment, processing and analysis using a variety of health and population sources (DHS, MICS and population census) ● Ability to provide advice and guidance on the analysis, interpretation and application of data from incomplete and deficient population/demographic data ● Experience and ability in meeting tight deadlines to support humanitarian response and disaster preparedness ● Familiarity and experience with mark-up languages such as MarkDown, RmarkDown and dashboard development tools, such as R Shiny, is an asset. ● Familiarity with version control systems for data analysis projects, such as Git and Github, is an asset. ● Strong interpersonal communication skills ● Excellent report writing and compelling oral presentations ● Familiarity with the UN system is desirable Languages: Fluency in English, working knowledge of French, Spanish and/or Arabic is desirable