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Data Management Officer

RTI International

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Natural Science

Statistics

Addis Ababa

6 years

1 Position

2023-07-14

to

2023-07-19

Required Skills
Required skills have not yet been specified for this position this job
Fields of study

Statistics

Full Time

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Job Description

Neglected Tropical Disease Projects

RTI International is an international, independent, not-for-profit organization dedicated to improving the human condition by turning knowledge into practice. With a worldwide staff of more than 4,000 people, RTI offers innovative research and development and a full spectrum of multidisciplinary services that meet the highest standards of professional performance. RTI is very interested in receiving applications from a diverse pool of applicants, for more information about our commitment to diversity, inclusion, and equity, please visit: https://www.rti.org/statement-diversity-and-inclusion

RTI NTD projects support and expand Neglected Tropical Disease (NTD) control and elimination in priority countries and will further the development of evidence-based policies and standards globally. To learn more about RTI’s NTD work visit:  

https://www.rti.org/impact/controlling-and-eliminating-neglected-tropical-diseases-among-world%E2%80%99s-most-vulnerable

Position Summary:

The Data Management Officer will oversee the organization, storage and in-depth analysis of NTDs data to guide program decisions for Act I East-NTDs, and any other RTI future projects.  He/she will also be responsible for managing all project specific reporting deliverables surrounding data management and ongoing national level NTDs-DHIS2 support and roll-out to regions.  In addition, he/she is expected to provide technical and programmatic support to the MERLA and program team by undertaking supportive supervisions during MDA and Disease specific Assessments led by RTI International.

Duties and Responsibilities:

  • Manage project specific data workbooks by ensuring the quality and timeliness of all NTDs data being reported from Act I East supported regions.

  • Support and manage surveys/disease-specific assessments field level undertaking and data management by developing data entry templates, overseeing data entry, cleaning and subsequent analysis including report writing.

  •  Provide closer technical support to FMoH NTDs team, regional health bureaus and in-country partners in rolling out DHIS2 implementation data analysis and use.

  •  Undertake thorough review of project data for inconsistencies that could skew analytical results and advise senior management team for timely corrective actions.

  • Review all data submissions by RTI partners and provide closer assistance as necessary to ensure accuracy where needed.

  • Assist the FMOH M&E advisor in DHIS2 database management and analysis in a way it ensures evidence-based generation for performance improvements.

  • Participate in the routine NTD database maintenance and progress tracking as needed to ensure data integrity.

  • Make recommendations for software, hardware and data storage upgrades and use during surveys, as necessary.

  • Provide technical support as necessary to RTI NTD team and FMOH NTD case team on data management during data collection, analysis, and use.

  • Summarize and analyze Act I East NTDs project related data and ensure consistency between data workbooks and narrative reports.

  • Summarize project progresses on monthly basis for major indicators and share with RTI Ethiopia management for learning and timely decision making in collaboration with MERLA manager.

  • Provide technical supports to ongoing MERLA related activities or any of validation surveys including the design and overall coordination of the tasks.

  • Undertake ongoing data analysis of historical data and generate evidence for learning and decision making on quarterly basis or as necessary.

  • Conduct field visits to regions for any on-site technical supports and capture learnings from ongoing implementation processes, as necessary.

  • Support supportive supervisions of Disease Specific Assessments being undertaken by RTI International in closer collaboration with in-country implementing partners and Regional Health Bureaus.

Job Requirements

Qualifications and Experience

Education:

  • Bachelor's in Statistics, Biostatistics or in a related field with 6 years’ work experience

Experience:

  • Proven experience in MERLA, particularly in field level data collection, analysis and use for learning and program adaptation as necessary

  • Familiarity with modern database and information systems design and applications

  • High analytical mindset with problem-solving skills

  • Proficient programming skills in one or more statistical software packages (STATA, SPSS, QGIS etc.)

  • Experience of working with USAID projects and knowledge of NTDs

  • Proven experience in data analysis 

  • DHIS2 experience is advantageous

Skills and Abilities:

  • Ability to manage small and large datasets, create codebooks, manipulate data, move and merge data files from different platforms

  • Proven experiences in reading, exporting, and converting data sets between multiple statistical software packages

  • Proven experiences on designing questions on electronic data collection applications (open data kit (ODK), Kobo toolbox using mobile technology is an advantage.

  • Experience of using  data visualization applications (Power Bi,  Tableau etc)

  • Proven experience of health research

  • Proven skills of statistical software (Epi-Data, SPSS, STATA, Epi Info, QGIS etc.)

How to Apply

RTI invites eligible candidates to indicate their interest in the position no later than July 19, 2023.  Applications should consist of a letter, detailed curriculum vitae, supporting credentials and 3 professional references, including your professional relationship with that person, the person’s telephone number and an email address.    Successfully candidates is expected to start immediately. Apply through CLICK HERE Only shortlisted candidates will be contacted for an interview. Please note:

RTI International does not use agents or require any form of payment in the recruitment process.

We are proud to be an EEO/AA employer M/F/D/V

Fields Of Study

Statistics

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