Public Health Data Analyst

Position Overview

The Public Health Data Analyst at Syra Health plays a crucial role in conducting epidemiologic analyses, managing data, developing dashboards, supporting data governance, and authoring technical documents within the Public Health Practice. This position focuses on converting multifaceted public health, healthcare, surveillance, administrative, and program datasets into precise analyses, meaningful insights, client-ready reports, and dynamic dashboards. The successful candidate must demonstrate strong analytical judgment, meticulous attention to data quality, and clarity in documenting methodologies, interpretations, assumptions, and limitations. A blend of applied epidemiology expertise and data analytics skills combined with proficiency in Excel, Power BI, Tableau, and at least one statistical or database software is essential.

Key Responsibilities

• Perform epidemiologic and public health data analyses, including evaluating surveillance, programmatic, survey, demographic, healthcare, administrative, and population health datasets.
• Calculate and interpret epidemiologic metrics such as counts, proportions, rates, ratios, prevalence, incidence, trends, disparities, and other relevant measures.
• Apply various analytical approaches including descriptive, comparative, stratified, temporal, geographic, and inferential analyses.
• Define populations, variables, measures, denominators, outcomes, and analytic constraints based on epidemiologic principles.
• Support activities like community health assessments, program evaluations, health equity analyses, needs assessments, and public health surveillance.
• Identify and highlight trends, disparities, risk factors, data deficiencies, and areas that require further examination.
• Ensure all conclusions are justified by data and distinctly separate observed outcomes from projections or assumptions.
• Manage and prepare data by cleaning, standardizing, validating, merging, and transforming from diverse sources.
• Assess data quality focusing on completeness, accuracy, consistency, timeliness, validity, duplication, and missing values.
• Create and maintain documentation such as data dictionaries, codebooks, metadata, validation rules, assumptions logs, and process documentation.
• Support data governance initiatives covering aspects like data ownership, classification, access, lineage, versioning, retention, privacy, and approved usage.
• Establish repeatable data processing, quality control, and validation procedures.
• Validate datasets, calculations, tables, dashboards, and analytical outputs independently to ensure accuracy.
• Maintain reproducible, well-organized analytical files adhering to established standards for file management and version control.
• Safeguard sensitive and confidential data following client requirements and applicable privacy laws.
• Design, develop, update, and verify dashboards and visual analytics utilizing Power BI and Tableau.
• Translate client and stakeholder needs into measurable indicators, visuals, filters, and dashboard elements ensuring usability across audiences.
• Prepare and validate datasets for dashboard implementation and routine updates.
• Create clear and informative visuals such as charts, tables, maps, and scorecards that effectively communicate public health data.
• Document dashboard calculation methods, data sources, refresh protocols, and validation criteria.
• Test dashboard features including functionality, filters, calculations, labels, and accessibility to ensure accuracy and usability.
• Develop advanced Excel tools, trackers, charts, tables, and standardized reporting templates.
• Compose client-ready epidemiologic reports, briefs, technical memos, surveillance summaries, presentations, and analytical conclusions.
• Draft analytical plans, methodology descriptions, standard operating procedures, dashboard guides, and quality assurance protocols.
• Clearly explain analytical methods, data origins, definitions, assumptions, limitations, and considerations for interpretation.
• Convey complex findings in clear, actionable terms suitable for both technical professionals and nontechnical stakeholders.
• Review analytical deliverables to ensure accuracy, consistency, readability, and proper contextual interpretation.
• Conduct literature and evidence reviews to underpin methodological choices and aid in selecting meaningful indicators.
• Collaborate with epidemiologists, biostatisticians, data engineers, evaluators, dashboard specialists, consultants, and subject matter experts.
• Engage in client discussions to ascertain data needs, elucidate findings, and support informed decision-making.
• Contribute to proposal writing, scoping, methodological design, effort estimation, and project planning.
• Create reusable analytical frameworks, reporting tools, dashboards, data quality checks, and governance documentation to enhance Public Health Practice workflows.
• Complete assignments adhering to review, validation, documentation, and approval norms.

Deliverables

• Validated, cleaned, and analysis-equipped datasets
• Epidemiologic and statistical summaries and analyses
• Data quality evaluations and validation documentation
• Interactive dashboards built with Power BI and Tableau
• Excel-based analytical and reporting tools
• Comprehensive data dictionaries, codebooks, and metadata archives
• Analytical plans and procedural documents
• Surveillance and analytical reports, briefs, and technical memoranda
• Visual outputs including tables, charts, maps, and presentations
• Dashboard specifications, calculation records, and refresh protocols
• Reproducible analytical scripts and methodological documentation

Qualifications and Experience

• Bachelor's degree in relevant quantitative fields such as epidemiology, public health, biostatistics, health informatics, data analytics, statistics, or population health required; Master's degree preferred.
• At least three years of experience in public health data analysis, epidemiology, healthcare analytics, surveillance, or related domains required; one or more years of master's-level experience preferred.
• No mandatory certifications, though relevant credentials in public health or data analytics are advantageous.
• Strong epidemiologic knowledge including study measures, concepts, and data quality principles.
• Advanced expertise in Microsoft Excel with skills in formulas, pivot tables, data validation, cleaning, graphing, and reporting.
• Proven experience with Power BI and/or Tableau dashboard development and maintenance.
• Proficiency in at least one statistical or database software such as R, SAS, SQL, Python, or equivalent.
• Experience handling data integration, validation, and comprehensive documentation across multiple sources.
• Knowledge of data governance practices including metadata, validation standards, version control, and lineage tracking.
• Strong technical writing capabilities to develop clear reports, SOPs, briefs, and documentation.
• Ability to communicate technical insights effectively to diverse audiences.
• Competence in multitasking with maintained accuracy and quality under deadlines.

Working Environment

• Handling complex datasets across public health, healthcare, surveillance, and administrative domains.
• Daily collaboration with experts such as epidemiologists, biostatisticians, data engineers, evaluators, dashboard developers, consultants, and clients.
• Preparedness for urgent requests and unexpected analysis needs.
• Managing concurrent tasks while ensuring analytical precision and documentation integrity.
• Work occurs remotely or in hybrid settings using virtual communication tools.

Physical Requirements

• Ability to lift objects up to 15 pounds.
• Occupational sitting estimated between 33% and 66% of work time.
• Use of hands for handling tasks over 66% of time on duty.
• Limited reaching with hands or arms (less than 33% of time).
• Full capability to talk and hear, with correctable vision.
• Extended periods of computer usage.

Equal Opportunity Statement

Syra Health Corp is committed to non-discrimination in employment based on race, ethnicity, religion, sex, national origin, age, veteran status, disability, genetic information, or any other legally protected status.