Data Analyst

Accelerating Measurable Progress and Leveraging Investments for PPH Impact (AMPLIPPHI) is a two- and half-year project that will catalyze early adoption and set the stage for scale up of new and recently recommended drugs for postpartum hemorrhage (PPH) in high-burden countries with a focus on DRC, Guinea, India, Kenya, Nigeria and Zambia. AMPLI- Nigeria will generate evidence (feasibility, acceptability, costing) to support the expansion of new PPH medicines at all different levels of the health system. Project is focused on supporting efforts towards State and national readiness, from community to district and national level stakeholders, to help propel scale-up after life of project. Implementation is in 2 LGAs in Kebbi State and 3 LGAs in Ondo State. The Project is currently conducting a study to generate evidence on barriers and opportunities for operationalizing WHO and national guidelines for advance distribution of misoprostol for PPH prevention at births outside of health facilities in Nigeria.  This assessment is being conducted in FCT, Niger, Sokoto, Abuja and Akwa Ibom states.

Specific objectives

1. Explore values, experiences and contextual factors that could influence policymaker and health professional association endorsement and scale-up of advance distribution of misoprostol for PPH prevention at births outside of health facilities.
2. Assess policymaker and health professional association perspectives on health system readiness to implement advance distribution of misoprostol for PPH prevention at births outside of health facilities.

The Consultant will participate in data collectors training, data analysis orientation and pre-data analysis standardization process. He will be responsible for qualitative analysis of the KIIs and round tables from Niger, Sokoto, Abuja and Akwa Ibom states.

Analyze qualitative data for the Misoprostol Assessment Study. Working closely with the field supervisors and the data manager, you are to

• Participate in the data collection training for data collectors in Abuja.
• Participate in virtual orientation on data analysis framework, group coding sessions
• Collating codebook, generate themes and subthemes in line with the study objectives
• Analyze qualitative data (coding and memo writing)
• Participate in post-data analysis meeting
• Provide summary memo reports

Deliverables

Your specific deliverables are:

• Codebook
• Coded data in Dedoose
• Summary memo reports
• Report detailing work done
• Power Point presentation of analytical outputs

• MSc in Sociology, MPH, Medical or Health Sciences Research is required.
• Prior experience in political economy analysis, framework analyses, or similar research projects is an advantage.
• 6 – 10 years’ Experience in qualitative research methods, particularly with proficiency in the use of Dedoose (or similar qualitative data analysis software).
• Maternal health programs or related experience
• Excellent communication and interpersonal skills are critical.
• Good spoken and written English
• Ability to multitask and meet deadlines at short notice.
• Excellent report writing skills

Jhpiego offers competitive salaries and a comprehensive employee benefits package.

Please apply at www.jhpiego.org/careers

Applicants must submit a single document for upload to include: cover letter, resume, and references.

For further information about Jhpiego, visit our website at www.jhpiego.org

Note: The successful candidate selected for this position will be subject to a pre-employment background investigation.

Jhpiego is an Affirmative Action/Equal Opportunity Employer

Jhpiego, a Johns Hopkins University affiliate, is an equal opportunity employer and does not discriminate on the basis of gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, other legally protected characteristics or any other occupationally irrelevant criteria. Jhpiego promotes Affirmative Action for minorities, women, individuals who are disabled, and veterans.

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