Analytical Epidemiologist

Booz Allen Hamilton•Atlanta, GA

About The Position

As an Analytical Epidemiologist, you will use data science and analytical skills to support public health work. You will work closely with customers to understand their questions and needs, analyze data-rich environments, and select appropriate tools and frameworks to turn disparate data into objective answers. You will explain what the data means and how customers can use it to make informed decisions. The role is located in Atlanta, GA.

Requirements

Experience performing data manipulation, cleaning, analysis, or visualization in R, SAS, Python, or SQL.
Experience building scalable ETL or ELT workflows for reporting and analytics.
Experience retrieving, parsing, and processing structured and unstructured data.
Knowledge of statistical techniques, basic descriptive statistics, and multivariate analysis methods such as Ordinary Least Squares (OLS) or logistic regression.
Knowledge of public health, healthcare, or health technology.
Ability to communicate through SOPs, analytic reports, or manuscripts submitted for publication.
Ability to independently analyze, interpret, and clearly and concisely communicate complex large datasets.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Bachelor’s degree.

Nice To Haves

Experience developing data queries, data visualizations, and dashboards using Power BI.
Experience working in cloud-based environments using AWS and Azure, and data warehousing solutions including Databricks.
Experience working in Palantir Foundry.
Experience with IT and software development project management software such as Azure DevOps and Jira.
Experience with data storytelling and user-centered design.
Experience working with federal health agencies.
Experience working with state and local government clients.
Knowledge of software development principles, Agile Scrum, and IT systems.
Master’s degree.

Responsibilities

Work with customers to understand their questions and needs.
Retrieve, parse, process, manipulate, clean, analyze, and visualize data.
Build scalable ETL or ELT workflows for reporting and analytics.
Apply statistical techniques, including descriptive statistics and multivariate analysis methods such as OLS or logistic regression.
Interpret complex, large datasets and communicate results clearly and concisely.
Develop SOPs, analytic reports, or manuscripts for publication.
Use data analysis to help customers make informed public health decisions.