Advisor, Public Health Data Analytics & Visualization
New
B
BME StrategiesPublic health analytics
This is a full-time position based in a home office environment within the U.S.Full-TimeSenior
Salary87,360 - 120,640 USD per year
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Job Details
- Experience
- Minimum 6 years experience required; 2+ years in a consulting firm environment; 1-4+ years client-facing experience
- Required Skills
- SQLMicrosoft Power BISnowflakeTableauData visualization
Requirements
- Minimum 6 years of experience.
- At least 2 years of experience in a consulting firm environment.
- At least 1-4+ years of client-facing experience.
- Master’s degree in public health, epidemiology, biostatistics, data analytics, health informatics, statistics, computer science, or a related quantitative field.
- Experience analyzing complex datasets and translating findings into analytical products.
- Experience developing dashboards and visualizations using a modern business intelligence platform.
- Experience using SQL to query, analyze, and validate data.
- Experience validating analytical outputs and performing quality assurance.
- Ability to translate business and analytical requirements into technical specifications and visualization designs.
- Strong analytical reasoning, attention to detail, and documentation skills.
- Ability to communicate technical and analytical concepts to technical and nontechnical stakeholders.
- Ability to work independently and collaboratively in a consulting environment.
Responsibilities
- Analyze public health datasets to identify trends, patterns, disparities, and findings relevant to program and surveillance needs.
- Develop and validate public health indicators, measures, rates, percentages, denominators, and stratifications.
- Apply epidemiologic and statistical concepts to population-level health data.
- Design and develop interactive dashboards, reports, and visual analytical products using platforms such as Tableau, Microsoft Power BI, or Amazon QuickSight.
- Query and analyze data using SQL and other analytical tools, and support BI-layer measures, calculations, mappings, and semantic models.
- Collaborate with epidemiologists, program staff, analysts, data engineers, and other stakeholders to translate questions into analytical specifications.
- Validate dashboard metrics, calculations, filters, and visualizations, and support peer review, QA, and user acceptance testing.
- Document data sources, transformations, methodologies, metric definitions, dashboard functionality, and limitations.
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