National Migration Health Data Officer/Engineer At International Organization for Migration

Job Description

Position Title: National Migration Health Data Officer/Engineer

Reference Code: VN 079/2024

Job classification: NO-B

Duty station: Manila (Global) Administrative Centre (MAC)

Type of Appointment: One year with possibility of extension

Salary: Php 1,745,899.00 per annum net of taxes

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.

Required Qualifications and Experience

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; or,
• University degree in the above fields with two 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.