Data Analyst

JOB OPPORTUNITY

 The Global Health Informatics Institute (GHII) is a non-profit organization working at the intersection of science, engineering, and global health to address problems of global health importance through the development of local solutions and capacity (https://www.ghii.org). GHII is committed to fostering a strong internal support structure to maintain efficient and impactful operations across its various projects.

We are looking for suitably qualified, passionate, hardworking, and enthusiastic individuals to fill the position of:

Job Title	: Data Analyst – Neotree Project
Location	: Kasungu, Malawi, with frequent travel to Lilongwe
Reporting to	: Operations and Research Manager

Type of Role    : Full time (minimum of 8 months)

To start : 1st September, 2025

Key Responsibilities

1. Data Management

• Support the cleaning, transformation, and maintenance of large datasets collected via the Neotree platform.
• Ensure data integrity, security, and accessibility in collaboration with digital health teams in accordance with Malawi Data Protection Act
• Manage data flows between Neotree, DHIS2, and other data systems (as applicable).
• Track complementary data systems, especially paper-based records, to identify variables critical to Neotree integration

2. Data Analysis & Interpretation

• Conduct routine and ad hoc analysis of neonatal health indicators and system performance metrics.
• Perform statistical analysis and generate insights to guide clinical and operational decision-making.
• Collaborate with the Neotree Implementation team, clinical teams and other stakeholders to identify trends, anomalies, and areas needing intervention.
• Support training of facility-based staff and project team members on data use and interpretation.
• Assist in building a data-driven culture within Neotree implementation sites.

3. Visualization & Reporting

• Design and maintain user-friendly dashboards and data visualizations using tools such as Metabase, Power BI, Tableau, Excel, or DHIS2.
• Contribute to the preparation of data-driven reports and presentations for donors, MoH, and other stakeholders.
• Translate complex data into non-technical, actionable insights and policy-relevant summaries.
• Prepare reports based on stakeholder indicators on time and if necessary stating trends, patterns, and predictions using relevant data.
• Prepare final analysis reports for stakeholders to understand the data-analysis steps, enabling data-driven decisions.
• Understand data storage and data sharing methods, identify, analyze, and interpret trends or patterns in complex data sets.

4. Data Requests Handling

• Set expectations about the data requests workflow with reasonable timelines in line with the expected standards.
• Define data requests workflow and record/track all data requests.
• Automate repetitive data requests.
• Measure and improve the data requests workflow by getting feedback from the stakeholders.

5. Cross-team Collaboration

• Work with the international team and lead in identifying process improvement opportunities, proposed modifications and new process improvement opportunities for Neotree project.
• Work closely with nurses, clinicians and other Neotree staff members to align data structures with project goals.
• Participate in operational research, evaluations, and learning events as required.
• Conduct Training for Neotree system users on new developments, reports and dashboards.
• Researching solutions to overcome data analytics challenges.
• Produce and maintain high quality comprehensive documentation.
• Any other duties assigned from time to time.

Qualifications and Experience

Required:

• Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field.
• At least 3 years of experience in data analysis, preferably in health or development programs.
• Strong command of data analysis tools (e.g., R, Python, Stata, or SPSS).
• Proven skills in data visualization (e.g.,Metabase, Power BI, Tableau, Google Studio or advanced Excel).
• Experience working with relational databases and data query tools (e.g., SQL).

Desirable:

• Familiarity with digital health systems like DHIS2.
• Experience in the health sector, preferably RMNCH or neonatal programs.
• Understanding of data quality assurance and ethical handling of sensitive health data

Key Competencies

• Technical & analytical: Expertise in data management (R/Python/SQL), statistical analysis, and visualization (Power BI/Tableau) to transform raw neonatal health data into actionable insights while ensuring integrity and compliance with data protection laws.
• Stakeholder engagement: Ability to collaborate with clinicians, MoH, and global teams, translating complex findings into clear reports/dashboards and training non-technical users.
• Process improvement: Skills in automating workflows, optimizing data systems (e.g., DHIS2 integration), and documenting processes to enhance efficiency.
• Critical thinking: Aptitude for identifying trends, anomalies, and data-driven solutions to improve neonatal care outcomes.
• Communication: Strong presentation and storytelling skills to convey insights to diverse audiences, from frontline staff to policymakers.
• Ethical & adaptive: Commitment to ethical data handling and adaptability to work across cultures and evolving project needs.

Personal Attributes

• Attention to detail: Ensuring accuracy in data cleaning, analysis, and reporting to maintain data integrity and support reliable decision-making.
• Adaptability: Ability to work in a dynamic environment, manage multiple tasks, and adjust to evolving project needs or stakeholder requests.
• Collaborative spirit: Willingness to work closely with clinicians, nurses, and international teams to align data insights with practical health interventions.
• Problem-solving mindset: Proactively identifying data anomalies, troubleshooting technical challenges, and proposing actionable solutions
• Communication skills: Translating complex data findings into clear, non-technical insights for diverse audiences, including policymakers and healthcare workers.
• Ethical sensitivity: Commitment to handling sensitive health data with confidentiality and adhering to ethical guidelines (e.g., Malawi Data Protection Act).

Qualified and interested candidates are requested to submit their applications including an updated CV and scanned copies of relevant degree certificates through our website at: www.ghii.org/opportunities/career-opportunities

The deadline for receiving applications is Sunday, 27th July 2025.

GHII is an equal opportunity employer and welcomes applications from individuals regardless of sex, disability, race, ethnicity, religion, age, or any other protected characteristic. We embrace diversity and believe that inclusivity in the workplace is essential to our success and we are committed to creating a work environment where all employees are valued and respected.

We value diversity and encourage candidates of all backgrounds, sex, and abilities to apply. If you meet most of the requirements but not all, we still want to hear from you.