Sr. Data Analyst (Dept. of Population, Family & Reproductive Health.)

We are seeking a Sr. Data Analyst who will be responsible for developing, implementing, and managing a plan to translate data into insights. The Sr. Data Analyst will provide expertise in data analysis and illustrations to articulate and monitor programs, projects, and general business success. The Sr. Data Analyst will serve as a data consultant to the assigned area and to provide complex analysis and reporting on various outcomes.

The BESAFE (Building Education and Skills to Address Substandard and Falsified Medicines) Initiative at the Johns Hopkins Bloomberg School of Public Health seeks a Sr. Data Analyst to support a growing portfolio of primary research, policy translation, and global partnership activities focused on substandard, falsified, and counterfeit (SFC) medical products. Reporting to the Senior Program Officer, this position plays a central role in managing, analyzing, and communicating evidence generated across BESAFE's research workstreams - including multi-country healthcare provider knowledge, attitudes, and practices (KAP) surveys; systematic literature reviews; and qualitative studies on clinician trust and product detection behaviors.

Specific Duties & Responsibilities

• Align assessment strategy with strategic objectives and goals.
• Translate data into insights to be used to support positive and enhanced outcomes.
• Collaborate with leadership to plan and implement assessment activities, including consultation on data collection, data analysis, reporting of assessment outcomes, and using results to improve programs and services.
• Prepare an annual assessment report to summarize findings across the school/division.
• Lead the design of clean, impactful, user-friendly data visualizations supporting strategic goals.
• Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. for different audiences using software like Power BI and Tableau.
• Provide insights on data patterns and trends, make strategic recommendations from analysis.
• Design and build data visualizations from concept to data analysis to the final step of visualization, informed by principles of good data storytelling.
• Collect and analyze various complex data and information; in collaboration with others, perform statistical analysis and summarize findings inapplicable reports or other communication mediums.
• Use data visualization techniques to distill and clarify complex processes or data sets.
• Conduct quality assurance and review of all data visualizations to ensure accuracy, usability, and adherence to existing branding and style guidelines.
• Create and maintain a library or repository of analysis documents, slides, and links to dashboards.
• Work with leadership to develop an efficient system for planning and administering surveys to minimize survey fatigue and maximize the collection of actionable data.
• Other duties as assigned.

In Addition to the Duties Listed Above

• Oversee the full data lifecycle for BESAFE studies: from instrument development and database architecture through data cleaning, analysis, and visualization. A defining feature of this role is bridging rigorous data management with strategic knowledge translation - transforming complex datasets into accessible outputs for academic journals, policy briefs, conference presentations, and advocacy materials targeting clinicians, regulators, and global health stakeholders. The position requires fluency in both quantitative and qualitative data environments, with experience in survey platforms, statistical software, and qualitative analysis tools (e.g., MAXQDA).

• Contribute directly to BESAFE's mission of converting research evidence into actionable clinical and regulatory guidance. This includes supporting the development of manuscripts for peer-reviewed publication, contributing to grant reporting and compliance documentation, and providing data assets for the 4Ps clinical framework, the EveryDoseMatters campaign, and BESAFE's accredited CME programming.
• Support cross-country research coordination across BESAFE's active geographies - including the United States, Nigeria, Senegal, South Africa, Kenya, and Rwanda - requiring cultural competency and the ability to manage data from diverse regulatory and healthcare contexts.
• Multi-Country Survey Data Architecture: Build and maintain database infrastructure for the six-country HCP KAP survey, including profession-specific branching logic, cross-country harmonization, and IRB-compliant data handling across multiple jurisdictions.
• Traditional and Non-Traditional Publication Support: Contribute to the full publication pipeline across peer-reviewed journals (Health Affairs, JAMA, PLOS Global Public Health), policy white papers, conference reports, and media-facing science communication products - ensuring data integrity, accurate citation of BESAFE-generated evidence, and formatting compliance across venue types.
• Policy-Facing Evidence Translation: Repackage findings from systematic reviews and primary studies into data assets for regulatory bodies, clinical associations, and donors - not just manuscripts.
• Qualitative Data Management: Manage MAXQDA codebooks, audit trails, and intercoder reliability calculations across BESAFE qualitative studies, including the 'Trust and Blind Spots' clinician detection study.
• CME Data Pipeline: Analyze learner outcome and pre/post assessment data from BESAFE's ACCME-accredited JHU CloudCME course; support evidence updates for emerging SFMP categories including GLP-1s and medical devices.

Minimum Qualifications

• Bachelor's Degree.
• Five years of related experience.
• Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Experience in R (ggplot2, R Markdown/Quarto), MAXQDA Analytics Pro

Technical Qualifications & Specialized Certifications

• Advanced knowledge of analysis software such as Power BI, Tableau, Excel
• Understanding of relational and dimensional data models and structures
• Experience working with querying tools such as SQL, Python, R Data

Technical Skills and Expected Level of Proficiency

• Data Analysis - Developing
• Data Collection and Reporting - Developing
• Data Tools and Platforms - Developing
• Data Validation and Quality Assurance - Developing
• Information Gathering - Developing
• Oral and written communications - Developing
• Project Management - Developing
• Strategic Thinking - Developing

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Sr. Data Analyst
Role/Level/Range: ATP/04/PD
Starting Salary Range: $62,900 - $110,100 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am - 5:00pm
FLSA Status: Exempt
Location: Remote
Department name: Popltn Fmly and Reproductive Hlth Srvs
Personnel area: School of Public Health