Malawi-Liverpool-Wellcome Programme (MLW)
Introduction
The Malawi-Liverpool-Wellcome Programme (MLW) is a world-class health research institution committed to improving health through research, capacity building, and strong partnerships.
The Malawi–Liverpool–Wellcome Programme (MLW) is seeking to hire a Data Analyst who shall be based within the Information and Communication Technology department.
Responsibilities
POSITION FUNCTION (PURPOSE)
The Data Analyst will play a critical role in enabling data-driven decision-making across the organization by collecting, analyzing, and interpreting complex datasets. This role supports MLW’s IT Strategy 2025–2029 by advancing business intelligence, fostering data governance, and delivering actionable insights that enhance research and operational efficiency. The Data Analyst will work closely with business units to design dashboards, develop reports, and ensure data integrity, aligning with the organization’s digital transformation and innovation goals.
KEY ACCOUNTABILITIES/RESPONSIBILITIES
Data Management & Analysis
- Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
- Develop and maintain enterprise data repositories in line with IT governance and security standards.
- Perform statistical analysis and generate insights to support strategic and operational decisions.
Business Intelligence & Reporting
- Design and develop interactive dashboards and reports using tools such as Power BI.
- Collaborate with stakeholders to define reporting requirements and KPIs.
- Ensure timely delivery of accurate and meaningful reports for operational teams.
Data Governance & Compliance
- Implement data quality standards and ensure compliance with MLW’s Data Security Policy.
- Support data classification and secure storage initiatives as outlined in the IT Strategy.
- Promote best practices in data stewardship across operation departments.
Collaboration & Innovation
- Work with the Digital Innovations team to integrate analytics into digital solutions.
- Identify opportunities for automation and predictive analytics using AI/ML tools.
- Support the adoption of emerging technologies for advanced analytics.
Capacity Building & Knowledge Sharing
- Provide training and support to staff on data literacy and BI tools.
- Contribute to knowledge-sharing initiatives and foster a culture of data-driven decision-making.
Requirements
QUALIFICATIONS & EXPERIENCE
- Bachelor’s degree in data science, Statistics, Computer Science, or related field.
- Minimum 3 years of experience in data analysis, business intelligence, or related roles.
- Proficiency in Power BI, SQL, and data visualization techniques.
- Strong analytical and problem-solving skills with attention to detail.
- Knowledge of data governance and security best practices.
KEY COMPENTENCIES/ATTRIBUTES AND SKILLS
- Analytical and critical thinking
- Strong communication and stakeholder engagement
- Ability to translate data into actionable insights
- Adaptability and continuous learning mindset
- High integrity and commitment to data security
REMUNERATION AND BENEFITS
MLW offers an attractive remuneration package which includes a competitive salary package commensurate with the position, a medical aid scheme, 24-hour insurance cover, pension scheme, gratuity benefits redeemable at the end of each contract cycle, among others.
MLW also offers opportunities such as scholarships, upgrading and training opportunities to employees. These are based on successful job performance and other set criteria.
Further details of the organization and the role can be found by visiting our website: www.mlw.mw
Applications must be received no later than 31 December 2025.
Interested candidates should submit their application, accompanied by a detailed curriculum vitae and supporting documents, together with the names and contact details of three traceable referees (including at least two professional referees), to vacancies@mlw.mw. All application documents must be combined into a single PDF file. The email subject line should clearly state the position being applied for, for example: Data Analyst.
MLW recognizes its responsibility in safeguarding and protecting communities, research participants and patients with whom MLW is working. Please note that successful candidates will be requested to undergo a safeguarding check prior to appointment and at regular time points during employment.
ONLY SHORT-LISTED CANDIDATES WILL BE ACKNOWLEDGED.
To apply for this job please visit www.mlw.mw.