Data Analyst

CDC Foundation•Georgia, GA

10d•$75,000 - $90,000•Hybrid

About The Position

The CDC Foundation seeks one Data Analyst to support the continuation and expansion of the PLACES program. The Data Analyst will work with a team within the Division of Population Health at the U.S. Centers for Disease Control and Prevention (CDC) to gather and compile health-related social needs measures to analyze and interpret into the PLACES database and web platform. The Data Analyst will support the program by working with the team to prepare and analyze public health data from various data sources such as BRFSS. Data Analyst will interpret and transfer population-level and community data annually into the PLACES database to increase accessibility and ease of use by local and state jurisdictions and public health professionals. Candidates should have strong SAS experience and will preferably offer proficiency in one or more complementary tools or languages (e.g., R, SQL, Python). PLACES (www.cdc.gov/PLACES) is a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. PLACES provides model-based, population-level analysis and community estimates of health measures to all counties, places (incorporated and census designated places), census tracts, and ZIP Code Tabulation Areas (ZCTAs) across the US. The PLACES team uses advanced small-area estimation (SAE) methods to generate dozens of chronic disease and other health-related measures. PLACES aims to assist local health departments and jurisdictions to better understand the burden and geographic distribution of health measures in their areas and use as a tool in the planning of local public health interventions. This is an outstanding opportunity to work with the nation’s lead agency charged with protecting the public's health. The successful candidates will be hired by the CDC Foundation and will be organizationally located with the Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP). Atlanta-based candidates are strongly preferred. Relocation expenses are not provided. The salary for this position ranges from $75,000 to $90,000 and will be based on experience and qualifications. The CDC Foundation offers an attractive benefits package.

Requirements

Master’s or PhD degree in Public Health, Statistics, Epidemiology, Biostatistics, or related field.
Minimum of 3 years of related public health statistics experience; 5-8 years of related experience preferred.
Intermediate to advanced skills in statistical analysis software program SAS are required.
Ability to plan, direct, develop, and maintain complex data systems.
Organized with high attention to detail and the ability to handle multiple priorities.
Effective team communication skills to ask questions as needed, summarize work performed, and occasionally help translate technical concepts for lay audiences as needed.
Experience working collaboratively with diverse groups and engaging in strategic partnerships.
Strong interpersonal skills required for teamwork and interaction with people across CDC and with external partners.
Ability to work well both independently and as a member of a multidisciplinary team.
Motivated to learn new skills and analysis software.

Nice To Haves

R (dplyr, ggplot2, tidyverse, officer, flextable), SQL, Python, JavaScipt skills and/or working in a Linux environment are preferred but not required.
Experience with large datasets is strongly preferred, ideally related to public health surveys.
Experience with data visualization (ggplot2, ggthemes, RColorBrewer, cowplot) would be a bonus.

Responsibilities

Download, compile, prepare, analyze, and interpret quantitative data from various data collection sources (primarily the Behavioral Risk Factor Surveillance System, U.S. Census, and the American Community Survey) to incorporate into the PLACES database.
Review existing SAS code, update code as needed (e.g., due to yearly changes in variables or questions), produce the data, and implement updates to the PLACES database within the required timeline.
Perform thorough data quality check throughout data production by following the project’s procedures.
Modify code year by year as variables change, questions are changed.
Create required datasets for data dissemination and format output as needed.
Prepare and submit an annual data quality report.
Produce estimates requested by internal and external partners.
Collaborate and participate in meetings with internal subject matter experts, across divisions and centers, and other project partners.
May participate in data management and data quality checks related to health studies.
Perform other related work as required.