Social Impact Data Analyst/USAID Tanzania HRH Activities Performance Evaluation Jobs in Tanzania

Social Impact Data Analyst/USAID Tanzania HRH Activities Performance Evaluation Jobs in Tanzania

Position Description:

SI is seeking a Data Analyst/Survey Consultant (local) to support the Team Lead in conducting the Afya Endelevu and HR evaluation. This is a consulting position with an estimated period of performance of October 2023 – April 2024. The estimated level of effort (LOE) for the Specialist will be 47 days with expected travel of up to 4 weeks in Tanzania. The Specialist will report directly to the evaluation Team Leader.

The Data Analyst/Survey Consultant shall be an English and Kiswahili speaker with strong data analysis and survey management experience. She/he will support the TL in survey management and data analysis at all stages of the evaluation including survey programming and analysis of all the indicators.

The Data Analyst/Survey Consultant will support TL in managing the data collection firm on survey management. The Analyst will work under the guidance of the TL and Senior Assessment and Evaluation Specialist in Tanzania and SI’s Project Director in Washington DC.

*This is a local position, and only Tanzanian applicants will be considered*

Responsibilities:

The Data Analyst/Survey Consultant will:

Work collaboratively with the Team Lead, T-MELA’s Chief of Party, and Senior Assessment and Evaluation Specialist.

Survey design and planning: Collaborate with the evaluation team to design and plan the evaluation, including developing evaluation objectives, analysis plan, sampling strategies, questionnaire design, and data collection methods.

Questionnaire programming: Program questionnaires using digital data collection platforms (e.g., Nfield, Survey123, SurveyCTO, ODK, Kobo Toolbox) and ensure that they are user-friendly, culturally appropriate, and align with the project's objectives.

Training and capacity building: Train and support local data collection teams, including enumerators and supervisors, on data collection methodologies, digital data collection tools, and ethical considerations.

Monitoring data collection: Monitor the data collection process to ensure quality, troubleshoot any issues that arise during fieldwork, and provide ongoing support and guidance to the local data collection team.

Oversee observational site visits to review the WISN+POA data system for expansion to include national level data.

Data management: Oversee and support the local firm in data management activities, including data storage, cleaning, validation, and quality assurance processes.

Data analysis: Conduct quantitative data analysis using statistical software (e.g., STATA, SPSS, R, SAS) to identify key findings and trends, and interpret results in the context of the project objectives.

Reporting and presentation: Develop comprehensive analytical reports, presentations, and policy briefs based on survey findings, and present results to project stakeholders, including donors, government officials, and other relevant parties.

Ethical considerations: Ensure that all data collection activities adhere to ethical guidelines and respect the rights and dignity of the participants.

Collaboration: Work closely with project team members and the contracted local firm to ensure that data collection and analysis activities are well-coordinated and aligned with the project's goals.

Deliverables:

With support from USAID/T-MELA and team members, the Data Analyst will be expected to provide draft inputs and revisions into the production of the following, and participate in presentations as directed by the Team Leader:

Final Evaluation Design: A detailed, full evaluation design and work

plan following an initial consultation with USAID that will include chosen methodologies and data collection tools.

Kick-off meeting/In brief: A PowerPoint/Google Slides presentation summarizing the Inception Report for USAID/T-MELA and key partners prior to the launch of data collection.

Findings Conclusions and Recommendations (FCR) Matrix: An analysis tool through which data is triangulated and findings, conclusions, and recommendations specific to each evaluation question are produced. Two FCR matrixes are expected, a preliminary document after the first full week of data collection, and a final matrix at the end of the data analysis period.

Preliminary Findings PPT: The team will present the key findings to the wider USAID/Tanzania Mission through a PowerPoint/Google Slides presentation. The TL is expected to update this PowerPoint after the final report.

Draft Report: A draft report with fully developed findings, conclusions, and recommendations, no longer than 30 pages excluding annexes, will be submitted to the T-MELA COP who will submit to the USAID COR for T-MELA activity. The format will include an executive summary, table of contents, methodology, findings, and recommendations. USAID/T-MELA and key local stakeholders will provide comments on the draft report.

Final Report: The team will submit a final report that incorporates responses to USAID's/partner's comments and suggestions. The report will be submitted electronically in English. The report will be disseminated within USAID and key stakeholders.

Qualifications and Skills:

The Data Analyst/Survey Consultant must have/hold:

Education: A master’s degree or higher in Statistics, Data Science, Education, Economics, Social Sciences, or a related field. A PhD is an added advantage.

Experience: At least 7-10 years of experience in data analysis, survey design, and implementation, preferably in the public health or nutrition sectors.

Technical expertise: Strong skills in quantitative data analysis and visualization using statistical software such as STATA, SPSS, R, or SAS.

Programming questionnaires: Proficiency in programming questionnaires using digital data collection platforms, such as SurveyCTO, Nfield, Survey123, ODK, or Kobo Toolbox, for implementation in the field.

Survey design: Demonstrated experience in designing and implementing household surveys, preferably in the nutrition, public health, or development sector.

Data quality assurance: Proven track record in data quality assurance, data cleaning, and data validation processes.

Communication skills: Strong written and verbal communication skills, with the ability to present complex information to diverse audiences.

Report writing: Experience in preparing high-quality analytical reports, presentations, and policy briefs based on survey findings and data analysis.

Ethical considerations: Familiarity with ethical considerations in research and data collection, particularly as they pertain to vulnerable populations and nutrition interventions.

How to Apply

For more information and job application details, see; Social Impact Data Analyst/USAID Tanzania HRH Activities Performance Evaluation Jobs in Tanzania

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