Established in 1951, IOM is a Related Organization of the United Nations, and as the leading UN agency in the field of migration, works closely with governmental, intergovernmental and non-governmental partners. IOM is dedicated to promoting humane and orderly migration for the benefit of all. It does so by providing services and advice to governments and migrants.
IOM is committed to a diverse and inclusive work environment. Internal and external candidates are eligible to apply to this vacancy. For the purpose of the vacancy, internal candidates are considered as first-tier candidates.
Context
Under the direct supervision of the Global Migration Health Research & Epidemiology (MHD Research) Coordinator in IOM Berlin and in close coordination with the Migration Health Informatics (MHI) Manager in IOM Valencia, the MHI Data Analytics Officer in IOM MAC, and the MHD Research Team in MAC, the successful candidate will support the MHD Research Unit in data analysis and reporting projects, for internal and external use.
Core Functions / Responsibilities
- Identify appropriate data sources for analytics projects and explore potential process improvements in overall data management.
- Support the team in translating data into analytics and reporting requirements that inform senior leadership and data-driven decisions.
- Provide an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and the use of relevant algorithms and computational approaches.
- Develop and support the implementation of various migration health data products for analysis and reporting (e.g. data warehouse management) and support MHD institutional data collection, reporting and knowledge management systems.
- Prepare data sets/databases emergent for health assessment program and other IOM platforms capturing health related data (e.g. DHIS2, ePHR,) to perform analysis of data (e.g. on medical conditions found during pre-screening and clinical consultations of migrant populations).
- Support the technical review of health assessment projects (e.g. ICD-10 autocoding project) and contribute to production of research output and reports for internal and external use.
- Lead the development/enrichment of MHD-related databases (e.g. Health Information Management System database, MHD research/publications database, Migration Health Research Portal, health related databases in GDI) in aspects of database management, integrity, access etc.
- In coordination with focal persons in the MHI Unit, lead tasks that involve the use of the migration health data warehouse and other data sources, including dimensional data models that address MHD reporting needs, as well as tasks that support the development and maintenance of regular and adhoc reports and data analysis. This includes the coordination of data quality checks with the MHI Unit to support the preparation of validated datasets for research.
- Perform other duties as may be assigned.
Education
- Master’s degree in data science, information management, information technology, computer science, statistics, medical informatics, public health, epidemiology, health sciences, or a related field from an accredited academic institution with two (2) years of relevant professional experience; or,
- University degree in the above fields with four (4) years of relevant professional experience.
Experience
- A minimum of two years of progressively responsible experience in data science, exploratory data analytics, time-series analysis, or related areas.
- Experience in the management and processing of large and complex databases.
- Use of statistical software like Stata, R, or SPSS.
- Use of programming languages like SQL, or Python.
- Knowledge of integrating Power BI with other Microsoft tools and third-party applications
- Experience in Microsoft Synapse or Fabric data analytics is an advantage.
- Involvement in health or medical research projects.
- Statistical Analysis: Strong grasp of statistical concepts and their application to various datasets including hypothesis testing, regression analysis, and other advanced statistical techniques to identify patterns, correlations, and trends.
- Data Interpretation: Skill in interpreting data to identify trends, patterns, and outliers.
- Data Manipulation: Strong skills in using appropriate programming languages or tools for data manipulation (i.e., data cleaning, transformation, and integration) to prepare data for analysis.
- Data Mining: Proficiency in data mining techniques to discover valuable patterns and insights in large datasets.
- Programming: Strong programming skills in languages commonly used in data science, such as Python or R. Additionally, an understanding of coding good practices, version control, and code documentation is desirable.
Languages
For this position, fluency in English is required. Knowledge of a second official UN language is desirable.
Values
Inclusion and respect for diversity
Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
Integrity and transparency
Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
Professionalism
Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
Courage
Demonstrates willingness to take a stand on issues of importance.
Empathy
Shows compassion for others, makes people feel safe, respected and fairly treated.
Core Competencies
Accountability
Takes ownership for achieving the Organization’s priorities and assumes responsibility for own actions and delegated work.
Communication
Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.
Managing and sharing knowledge
Continuously seeks to learn, share knowledge and innovate.
Teamwork
Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
Delivering results
Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.
Managerial Competencies
Leadership
Provides a clear sense of direction, leads by example and demonstrates the ability to carry out the Organization’s vision. Assists others to realize and develop their leadership and professional potential.
Empowering others
Creates an enabling environment where staff can contribute their best and develop their potential.
Building Trust
Promotes shared values and creates an atmosphere of trust and honesty.
Strategic Thinking and Vision
Works strategically to realize the Organization’s goals and communicates a clear strategic direction.
Humility
Leads with humility and shows openness to acknowledging own shortcomings.
How to apply
Interested candidates are invited to submit their applications online by clicking on the APPLY button and completing the profile registration.
FEES
IOM does not charge any fees at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.