Management Sciences for Health (MSH) is a mission-driven, global nonprofit advisory organization that provides governments, health organizations, and the private sector with the strategies, tools, and management support to deliver high-functioning health systems effectively and efficiently. For more than 50 years, we have focused on the people at the heart of the health system – from health ministries to communities, private sector to civil society – in each environment in which we work, serving as trusted advisors to make foundational changes that support the whole health system. Working shoulder-to-shoulder with countries and communities, MSH helps to save lives and improve the health of the world’s poorest and most vulnerable people by building strong, resilient, sustainable health systems.

MSH started working in Indonesia in 1980 with a focus on improving child health, decentralizing health services, expanding access to care and treatment for TB, and strengthening pharmaceutical management. In 2023, MSH was awarded the five-year USAID BEBAS-TB activity to reduce TB incidence and mortality by addressing critical gaps and challenges in the TB program. This activity builds on the work of previous USAID projects and aims to improve access and utilization of quality and patient-centered comprehensive TB services. To achieve the objectives, MSH is looking for Data Management Associate.

Overall Responsibilities

Reporting to the National MERL Advisor and working closely with the BEBAS-TB technical and provincial team, the Data Management Associate will support the data collection and management of BEBAS-TB activity. The successful candidate will ensure the data prepared is complete, put in the template, and clean for further analysis by the national office.

Specific Responsibilities:

Collect, clean, tabulate, collate and store data from BEBAS-TB activities at national and provincial level. Assist the MERL team in processing monitoring and evaluation data, tracking project targets and indicators to measure performance. Support the BEBAS-TB team in implementing the DQA tool in BEBAS-TB supported area. In consultation with the Research Advisor, HIS Advisor, and MERL Advisor, support the implementation of research and assessment activities. Support the MERL team to implement BEBAS-TB MERL activities at the national level.

Qualifications:

Education:

• Bachelor’s degree in statistics, biostatistics, health information systems and other health areas are preferred.

Experience:

• A minimum of four (4) years’ experience in data management or quantitative research.

Competencies:

• Good understanding of basic monitoring and evaluation concepts, and strong data management.
• Understanding and familiarity of public health issues and infectious diseases in a complex environment
• Specific TB knowledge is desirable

Knowledge and Skills:

• Excellent ability in using data systems like Microsoft Excel, STATA, Tableau or other software for data processing
• Basic web-based data collection skills include developing and collecting data using web-based tools such as Microsoft form, Survey Monkeys, Google Form, ONA/ODK, etc.
• Excellent communication skills and intermediate proficiency in English language
• Organizational and analytical skills
• Flexibility in the approach of various problems in different settings

Physical demands:

• Some domestic travel as required.
• Ability to spend long hours looking at computer screen and doing repetitive work on a keyboard.

How to Apply

Please send your application and preferably apply via online through MSH Career Website (click this link): Data Management Associate – Jakarta Office

Only applicant who meets the above qualification will be considered

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MSH is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, sex, sexual orientation, gender or gender identity, religion, creed, citizenship, national origin, age, veteran status, or disability unrelated to job requirements. MSH will take affirmative action to ensure that qualified applicants are employed and that employees are treated without regard to their race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran and disability status.