Data Analyst

Malaria Consortium
22 Feb 2018
17 Mar 2018
Contract Type
Full Time

The Data Analyst will support data analyses, sample size calculations, study design and the epidemiological interpretation of programme and project results. The post-holder will also further develop and support Malaria Consortium's Monitoring and Evaluation initiatives at global level and support secondary analyses and documentation of learning through analyses of data sets addressing key disease control questions. The post-holder will provide technical support and capacity building to country offices and the global technical team as required.

The role sits within Malaria Consortium's Global Technical Team and Monitoring & Evaluation (M&E) Community of Practice (CoP), based in the London office. This team is responsible for providing oversight, quality assurance and technical support to country teams to assure the technical quality of our programmes and maximise the beneficial effect of our work. He/she will be required to provide Epidemiological, Study design, Data analyses and monitoring & Evaluation and Learning technical assistance (TA) across all Malaria Consortium country programmes and projects. The post holder will contribute to organisational and strategic Technical, M&E and Learning initiatives coordinated at the global level.

Skills Communication, Team Player, French, Initiative, Data analysis, Management Skills, Portuguese, Data Analyst, Presentation skills, Data management, Data, Statistics, Data Collection, Statistical Analysis, Epidemiology, NGO, Non-profit, Research Design, global health sector, data entry systems, data base development, communicable disease control, child health


The Role:

The role requires the ability keep track of multiple responsibilities, plan and work semi-independently and to use initiative. The Data Analyst will be responsible for supporting the M&E Community of Practice and country teams to deliver scientifically robust technical outputs, design of study protocols, data collection methods and data analysis plans. Alongside this support, the Data Analyst will provide input to the strategic direction and functions of the M&E CoP by contributing to the development of M&E initiatives (e.g. PReS) supporting their use within the organisation. The Data Analyst will consolidate information from key studies on analyses plans, activities, progress, and impact to identify key learnings and promote best practice within the organisation.

Up to 30% travel involved.


Technical contributions (75%)

  • Support sample size calculations, study design, statistical analysis of projects data, and contribute to reports to disseminate among partners
  • Explore research questions of interest for Malaria Consortium using available data through conducting secondary and meta-analyses
  • Participate in the development of tools and procedures in surveys, rapid assessments, routine data collection and surveillance
  • Supervise M&E activities during project implementation and outputs, quality control data and carry out quarterly project performance assessments and other reports as required
  • Represent Malaria Consortium at regional, national meetings as required, and participate in technical discussions and strategic planning meetings of Malaria Consortium technical team.
  • Provide technical inputs to the Malaria Consortium Global Technical Team, when required
  • Participate in building capacity in data management, statistics and data analysis for Malaria Consortium staff and selected stakeholders, both internally and externally
  • Contribute to the organisation's capability in M&E, surveillance and research
  • Participate with other members of the Monitoring and Evaluation team in design and implementation of surveys
  • Provide technical support to country teams in communicating the results to MoH and partners

Strategic contributions (15%)

  • Contribute to Malaria Consortium's strategies on knowledge management and data use
  • Represent Malaria Consortium on global and regional technical working groups, as required
  • Support the organisation's business development efforts by providing technical inputs to proposal writing and programme design particularly on study design, sample size calculations, epidemiology and data analysis plans
  • To support logframe development during project set up/inception;
  • Actively contribute to the strategic development of Malaria Consortium in countries and regions.

Programme management (5%)

  • Work as part of the M&E team to provide technical assistance from the global M&E support team
  • Manage M&E activities as requested
  • Participate in the review of programme/M&E narrative reports

Communication and advocacy (5%)

  • Write peer-reviewed publications on key projects and data analysis exercises
  • Contribute to documentation of lessons learnt from the organisation's work including production of learning briefs, learning papers, general documentation and contribution to publications
  • Provide technical inputs as required to Malaria Consortium's advocacy work



  • Postgraduate degree in statistics or public health with focus on epidemiology/bio-statistics or demography
  • Extensive experience working in data management and epidemiology in developing countries within government, an international organization or research institution, preferably in Asia and/or Africa
  • Extensive experience in research design and implementation
  • Knowledge and experience of Monitoring and Evaluation tools and methods in the international development or global health sector
  • Significant experience in the development of data bases, data entry systems (PDA or phone-based) and statistical analysis software (EpiData, Excel, Access, Stata)
  • Ability to plan, manage and prioritise workload semi-independently
  • Good interpersonal skills and effective working style
  • Sensitivity to confidentiality issues and diplomacy
  • Excellent writing and presentation skills
  • Management and mentoring skills with respect to junior staff
  • Ability to work in a team
  • Ability to work independently with little support


  • Significant knowledge in communicable disease control and child health
  • Knowledge and experience of disease surveillance mechanisms
  • French or Portuguese language skills

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