Sightsavers is an international organisation that changes lives for the long term. We work in more than 30 countries to eliminate avoidable blindness and support people with visual impairments to live independently. We do what we do because 80 per cent of blindness in the world is avoidable, and we think that’s astoundingly unfair. We do it because people with disabilities deserve the same opportunities as everyone else.
Overview
Sightsavers is looking for a Data Quality and Capture Officer to support the delivery of our new strategic monitoring systems and process and ensure high quality data throughout Sightsavers work.
Salary: Local terms and conditions apply
Contract: 12 month Fixed Term Contract
About the role
We are looking for an experienced data quality professional to help us support the delivery of our new strategic monitoring systems and process. You will be responsible for the Learning, Accountability, Monitoring, Performance (LAMP) data collection tools and processes, providing updates to the tools and integrating them into Sightsavers systems and processes. You will also work on ensuring that the data collected using these tools is transformed and cleaned so that it can be easily integrated into other systems and data visualisation software.
This is a highly collaborative role, working closely with the Data Visualisation Officer and technical and office staff and would suit someone with excellent data cleaning skills, experience of data capture within Excel and who is confident working with different stakeholders.
Responsibilities
Key duties will include:
Data capture, tool development, maintenance, and support
- Maintain LAMP data collection tools, working with global teams to adjust and meet ongoing LAMP requirements.
- Build data capture tools into DHIS2 to facilitate the increased amount of data that will flow through the new platform.
- Create training materials and provide training on all LAMP data capture tools, systems, and processes.
- Collaborate with the Data Visualisation Officer (LAMP) on data cleaning, as well as dataflow creation and maintenance, to ensure data captured for LAMP is fully documented and represented clearly and coherently
Data quality and validation
- Complete a comprehensive review of data quality across all LAMP data sets
- Strengthen data validation across all tools and ensure that where possible fields contain the correct data types
Embed LAMP into organisational systems and processes
- Support roll out of the new indicator reference guide ensuring that the LAMP indicators are synergistic with data capture systems.
- Support the building of the new DHIS2 platform, working closely with the developers to deliver the requirements of project teams for all their LAMP data management needs.
- Align economic empowerment databases with Sightsavers outputs database as well as integrating economic empowerment data capture into DHIS2.
This is a varied role, please read the full job description for further details and full list of responsibilities.
Skills and Experience
This is an ideal opportunity for someone with exceptional data cleaning, collaborative working and data management skills. To succeed in this role, you will need:
Essential
- Undergraduate degree in statistics, International Development, ICT, data analytics, geography, or appropriate equivalent.
- Understanding and demonstrated experience of data capture within Excel and data management.
- Experience working and supporting staff in different contexts (face to face, online, internationally).
- Extensive experience of cleaning data
- Understanding of international development issues and a commitment to equality of opportunity for disabled people.
- Comfortable with manipulating quantitative and qualitative data and producing relevant documentation e.g., data dictionaries and technical guides.
- Good analytical skills with the ability to identify important issues and communicate these effectively to colleagues.
- Able to work with multiple stakeholders and ensure differing concerns and priorities are effectively managed.
- Proficient in using the Microsoft Office suite, particularly Excel to an advanced level e.g., Pivot tables and Index/Match.
- Demonstrated ability to communicate information, practices, and ideas to a non-technical audience.
Desirable
- Master’s degree in statistics, international development, ICT, data analytics, geography, or appropriate equivalent.
- Relevant overseas experience e.g. voluntary work
- Experience developing or managing applications in DHIS2.
- Experience of using visual analytics software such as Microsoft Power BI or Tableau.
- Experience using Commcare or Microsoft Power Apps.
- Experience using Microsoft Power Automate.
- Experience using VBA in Microsoft Excel.
- Spoken and written French language skills.
Method of Application
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