JOB SUMMARY: The role of the Data Analyst is to support the Global Pharmaceutical Services Unit and the Health Informatics Systems team in collecting and analyzing performance indicators and measure the true impact of the Pharmaceutical Information Management System (PIMS). Provide data driven evidence to all concerned including mission teams to help improve performance and the quality of program execution at the field level. Furthermore, the Data Analyst will be responsible for efficiently setting up data collection and assessment framework including an indicator bank and tools for collecting baseline and post service data around key performance indicators (KPIs) that will promote informed decision-making for on-going and future programmatic activity. The Data Analyst will also support future PIMS related projects including the preparation and development of proposals.
To perform this job successfully, an individual must be able to perform each essential function with or without reasonable accommodation:
MAIN TASKS AND RESPONSIBILITIES
• Provide technical support to both the GPSU and HIS units around data collection, analysis and management.
• Map and detail data collection and KPI analysis frameworks and develop tools that can be deployed to field missions for consistency across the board in the deployment and use of the PIMS software throughout the project cycle.
• Develop guidance and standards methodologies for the collection and analysis of data to allow for comparison and aggregation across time and the different projects.
• Develop data gathering strategies and harmonize data collection, analysis, and reporting flows for projects in the country missions.
• Oversee the collection and timely reporting of data and statistics from the health facilities and other centers were PIMS is in use.
• Consolidate statistics from other areas of project activities linked with the use of PIMS (as applicable) and analyze cross-cutting indicators.
• Design and coordinate needs assessment and situation analysis through various approaches (e.g., direct data collection, secondary sources, problem tree analysis, SWOT analysis) and ensure that needs assessment and project design are linked.
• Identify resources needed for all activities related to data collection and analysis of PIMS projects.
• Develop strategies for assessing the quality of collected data for the indicators and manage tools and methods for assessing data quality for all indicators.
• Organize the planning for project data quality audits and monitor and coordinate routine data quality audits conducted in different sites, compile results at the level of a project, and develop action plans to implement corrective measures.
• Coordinate data gathering and data management of population-based surveys and surveillance activities when and if conducted.
• Use proper sampling (probability and non-probability) techniques considering desired power, type of evaluation (e.g., single point or multiple points; baseline vs. endline), etc.
• Ensure adherence to prescribed methodologies of sampling, data collection, and data entry.
• Develop and use different qualitative and quantitative methods of data collection, including structured/ semi-structured interviews, key informant interviews, in-depth interviews, group discussions, focus group discussions, and direct observations. Conduct trainings on quantitative and qualitative techniques for data collection for concerned staff.
• Prepare tabulation plan and perform quantitative data analysis
• Perform qualitative textual analysis, develop topical outlines (coding), and support the team in narrating the findings.
• Keeping the social dynamics, manage errors/bias, and strategy to minimize them and to ensure the data collected is representative of all service delivery points or sites data was collected for.
• Support GPSU and HIS team on conducting statistical analysis including descriptive (univariate and bivariate data analysis) and inferential analysis using statistical software.
• Support the qualitative analysis and develop topical outlines (coding).
• Develop spatial data from maps, documents, and other data sources.
• Analyze data and develop spatial data models and maps.
• Triangulate findings from several qualitative and quantitative sources.
• Interpret statistical data for use in decision-making and synthesize quantitative and qualitative information for write-up/reports and decision making.
• Write full narrative reports (needs assessments, internal reviews, progress reports) and executive summaries.
• Present information and ‘tell the story’ of the project to multiple audiences and decision makers based on the findings from the analysis and monitoring.
Perform other duties as assigned. The duties and responsibilities listed in this document are representative of the nature and level of work assigned and not necessarily all inclusive.
MINIMUM QUALIFICATIONS
• Typically, a bachelor’s degree in social sciences, public health, statistics, or international development, with experience or background in medical or non-medical supply chain management, epidemiology, public health, and health information management. Master’s degree preferred. An equivalent combination of relevant education and experience may be substituted as appropriate.
• Typically, 7+ years of relevant and progressive experience working in related field, including minimum of 5 years of applied experience with a humanitarian organization in designing, implementing, and overseeing data collection and analysis tasks in relevant sectors.
• Experience in database design and other tools for medical supply chain information management or similar processes and systems
• Experience in the use of qualitative and quantitative methods or software for data analysis.
• Know causal analysis approaches (e.g., problem tree analysis, SWOT analysis) and carry out situation analysis and assessment of needs and opportunities (with the inputs of technical specialists).
• Possess the skills to write full narrative reports (impact analysis, data reviews, progress reports etc.) and executive summaries.
• Demonstrated understanding of data protection and confidentiality as part of data collection and management practices and the ability to respect and maintain confidentiality.
• Proficiency in Microsoft Office applications, including Word, Excel, Outlook, PowerPoint, and Team.
• Competency in using statistical software EPI-Info, SPSS, and STATA or similar.
• Possess the skills in qualitative data analysis software such as MaxQDA, NVivo, Atlas.ti.
• Knowledge of inferential statistics.
• Have analytical, conceptual, and strategic thinking skills.
• Build collaborative relationships and foster teamwork.
• High proficiency in English (Speaking Reading Writing). Spanish, French, or Arabic is plus.
• Able to travel 35% of the time.
SALARY RANGE: Mid $90,000 to Mid $110,000 per year
For positions filled in the United States, the typical salary range for this role is as state above. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate’s skills, qualifications, experience and geographic location.