Internship - Data Analyst Intern, Evaluation Office, NYHQ - 6 months, Part-time

The Evaluation Office (EO) is looking for a Data Analyst for an Internship that will help work with multiple divisions within UNICEF on the Community Rapid Assessment: Time Series Data for Rapid Assessment of Behavioral Changes, Coping Strategies and Evolving Needs during COVID-19. Beyond this study, however, there is also a need to produce ongoing and close to real time evidence using mixed methods from UNICEFs databases, data warehouses and online reporting platforms. The primary purpose is to use this evidence towards improving program strategies in UNICEF’s core mandates.

UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.

Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.

And we never give up.

For every child, evaluate

Data science will continue to play an increasingly important role in supporting decision making on children, including to inform UNICEF’s internal planning of its COVID-19 response and government’s planning at the national and sub-national level.  The Intern will work closely with the academic partners and the Evaluation Office and Community for Development Divisions within UNICEF to conceptualize analytic products, develop frameworks to conduct statistical testing for research questions related to various COVID-19 data collection efforts, and produce analyses for evidence generation and publications. 

How can you make a difference?

The primary purpose is to use this evidence towards improving program strategies in UNICEF’s core mandates. As part of the portfolio, the Data Analyst will be engaged in the areas of work including data mining, data processing and data analyses related to COVID-19 research, monitoring and evaluation work.  In addition, the analytic work from the CRA is intended to serve as a data source for evaluative work – reviews, meta analyses, and evaluation reports as will be conceptualized by the evaluation office, using community-sourced data where possible.   In short, the overarching focus of the Data Analyst will be conducting ongoing mixed methods analyses using multiple data sources to build high quality data systems that will serve the purpose of addressing not only COVID-19 --- but for future thematic areas aimed at improving the lives of children and young people globally.

To qualify as an advocate for every child you will have…

• A first/Bachelor’s University Degree in Statistics, Mathematics, Computer Science, Applied Math, Data Science, Machine Learning, Economics, or any other related field.
• A minimum of 3 years of relevant professional experience in database and data management, data analysis, and data visualization and reporting.
• Fluency in English is required. Knowledge of another official UN language (Arabic, Chinese, French, Russian or Spanish) or a local language is an asset.

For every Child, you demonstrate…

UNICEF's values of Care, Respect, Integrity, Trust, and Accountability (CRITA) and core competencies in Communication, Working with People and Drive for Results.

The functional competencies required for this post are...

• Experience analyzing data from social monitoring systems, monitoring and evaluation work, or other survey work in developing countries.
• Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis.
• Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets.
• Experience using statistical computer languages to manipulate data and draw insights from large data sets (Java/R/Python). Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2 is considered an asset.
• Ability to gauge the complexity of unstructured dataset problems and a willingness to execute simple approaches for quick effective solutions as appropriate.   
• Willingness to evaluate and adopt the latest advances in data mining, artificial intelligence and data visualization.
• Ability to work cross functionally to define problem statements, examine collected data, build analytical models and communicate final recommendations that drive decision making.

View our competency framework at

http://www.unicef.org/about/employ/files/UNICEF_Competencies.pdf

UNICEF is committed to diversity and inclusion within its workforce, and encourages all candidates, irrespective of gender, nationality, religious and ethnic backgrounds, including persons living with disabilities, to apply to become a part of the organization.

UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. UNICEF also adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.

Remarks:

Mobility is a condition of international professional employment with UNICEF and an underlying premise of the international civil service.

Only shortlisted candidates will be contacted and advance to the next stage of the selection process.