Advisor, Public Health Data Analytics & Visualization

BME Strategies

2h•$87,360 - $120,640•Remote

About The Position

BME Strategies is seeking an Advisor, Public Health Data Analytics & Visualization to support the Massachusetts Local Public Health Data Solution (Metrik), a statewide initiative led by the Office of Local and Regional Health to modernize and standardize local and regional public health workflows, data collection, reporting, and performance management. The position supports analysis, interpretation, validation, and visualization of complex public health data, translating business, epidemiologic, and analytic requirements into accurate and accessible data products. The Advisor will work closely with Flourish & Thrive Labs, the project’s third-party integrator. The role spans the analytics and visualization lifecycle, including data exploration, indicator development, statistical analysis, data validation, dashboard development, and stakeholder review. It requires analytical rigor, knowledge of public health context, visualization expertise, a strong focus on data quality and documentation, collaboration across technical and program teams, and adaptability across BI and analytical platforms. This is a full-time position in a home-office environment within the United States at a remote-first organization. Occasional travel to client sites, conferences, or meetings may be required. Work assignments may adapt as project contracts and needs change. Advisors are expected to spend approximately 90% of their time on project work, 5% on administrative work, and 5% on business development. The salary range is $87,360–$120,640 per year. New employees are typically hired between the range minimum and midpoint, depending on internal equity and the budgeted amount.

Requirements

At least 6 years of experience.
At least 2 years of experience in a consulting firm environment.
Demonstrated subject-matter expertise in at least one practice area.
Ability to make independent technical contributions.
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.
Demonstrated experience analyzing complex datasets and translating findings into actionable analytical products.
Experience developing dashboards and data visualizations using a modern business intelligence platform.
Strong understanding of data visualization principles and dashboard design.
Experience performing data validation and quality assurance on analytical outputs.
Experience using SQL to query, analyze, and validate data.
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 clearly to technical and nontechnical stakeholders.
Ability to work independently and collaboratively in a fast-paced consulting environment.
Alignment with BME’s shared values.

Nice To Haves

Experience with public health, healthcare, surveillance, population health, or health and human services data.
Applied experience with epidemiologic or biostatistical methods, including calculating and interpreting population-based rates, stratified measures, trends, confidence intervals, age-adjusted measures, or similar public health statistics.
Experience working with multiple public health datasets and integrating information across surveillance or administrative data sources.
Advanced experience with Tableau, Microsoft Power BI, or Amazon QuickSight.
Experience working with Snowflake, AWS, or other cloud-based analytical environments.
Experience developing analytical products for state or local government, public health agencies, or other public-sector organizations.
Familiarity with data governance, suppression, privacy, accessibility, and reporting requirements applicable to public health data.

Responsibilities

Lead or co-lead larger technical and advisory projects and contribute to project design.
Mentor Associates and Senior Associates when possible and serve as a technical resource in the practice area.
Manage projects to exemplary client satisfaction and contribute to or lead proposals.
Analyze public health datasets to identify trends, patterns, disparities, and findings relevant to program and surveillance needs.
Support development and validation of public health indicators, measures, rates, percentages, denominators, stratifications, and other analytical outputs.
Apply epidemiologic and statistical concepts to population-level health data analysis.
Conduct exploratory data analysis and data profiling to assess completeness, consistency, distributions, and potential data-quality issues.
Validate calculations and analytical outputs against source data, benchmarks, and documented business rules.
Work with epidemiologists, program staff, analysts, and subject-matter experts to translate public health questions into analytical specifications.
Document indicator definitions, methodologies, assumptions, limitations, and analytic business rules.
Design and develop interactive dashboards, reports, and visual analytical products for public health audiences.
Develop visualizations using platforms such as Tableau, Microsoft Power BI, and/or Amazon QuickSight.
Translate analytical and stakeholder requirements into charts, dashboards, filters, drill-downs, tooltips, and other interactive features.
Develop reusable visualization components, templates, and standards to promote consistency.
Apply visualization best practices so outputs are understandable, accurate, accessible, and appropriate for technical and nontechnical audiences.
Optimize dashboards for usability, performance, and maintainability.
Participate in iterative stakeholder review and incorporate business feedback into visualization designs.
Work with data engineers, data architects, analysts, and BI developers to understand source data and curated analytical datasets.
Query and analyze data using SQL and other appropriate analytical tools.
Support development and validation of BI-layer measures, calculations, mappings, and semantic models.
Evaluate whether analytical logic should be implemented in the database or data warehouse, semantic layer, or visualization platform.
Support integration of cloud-based data platforms and BI tools, including environments using Snowflake and/or AWS technologies.
Troubleshoot discrepancies between source data, analytical datasets, and published dashboard outputs.
Validate dashboard metrics, calculations, filters, and visualizations before release.
Support peer review, quality assurance, user acceptance testing, and business validation.
Document data sources, transformations, analytical methodology, metric definitions, dashboard functionality, and known limitations.
Maintain clear documentation and work products using tools such as Jira, Confluence, SharePoint, Microsoft Teams, and Microsoft Office.
Support repeatable analytical and visualization processes for future Metrik use cases.

Benefits

11 paid floating holidays each year.
Four weeks of additional PTO.
Health insurance, with 80% employer-paid coverage for the employee and 70% employer-paid coverage for dependents.
Dental insurance, with 80% employer-paid coverage for the employee and 70% employer-paid coverage for dependents.
Vision insurance, with 80% employer-paid coverage for the employee and 70% employer-paid coverage for dependents.
Health flexible spending account (FSA).
Dependent care FSA.
401(k) with employer match.
Employer-paid short-term and long-term disability insurance.
Opportunities for professional development and career growth.