Data Analyst II

Responsibilities

• Sort, clean, and analyze birth defects and Neonatal Abstinence Syndrome (NAS) data collected from DBDID population-based birth defects surveillance systems
• Work with Information Technology (IT) staff to establish, document, and facilitate data reporting mechanisms
• Establish a database variable structure for housing multi-state data submissions to CDC
• Develop and execute data quality control protocols to identify data issues
• Review submissions and provide suggestions for improvement with State birth defects surveillance systems to resolve data issues
• Prepare documentation of the multi-state birth defects and NAS surveillance databases including data dictionaries, file formats, and data cleaning procedures
• Identify program and process improvement opportunities to increase the timeliness and accuracy of data and provide recommendations to CDC program staff
• Prepare written reports of program improvement and process recommendations and analytic findings
• Perform frequent (i.e., weekly) statistical analyses and reporting of data collected from DBDID birth defects surveillance systems
• Generate files, reports and tables from the data analyzed in a variety of formats (e.g., SAS, CSV, XML) for CDC program staff, as requested
• Utilize advanced statistical programming (e.g., SAS and R) to collect data from multiple jurisdictions, clean data, validate the data, analyze the data using advanced epidemiologic methods (e.g., regression models), and summarize results

Qualifications

• Necessary Skills and Knowledge:
  • Public Health data analytics, particularly Birth Defects and Developmental Disabilities Surveillance and neonatal abstinence syndrome surveillance
  • Statistical programming (SAS, R, SQL, Python)
  • Regression modeling and trend analysis
  • Data visualization and reporting (Tableau, Power BI)
  • CDC Surveillance and Reporting Systems
  • Ability to Translate Complex Data into Actionable Insights
  • Database Management and Data Warehousing
  • Data Cleaning, Validation, and Quality Assessment
  • Analytical and Critical Thinking
  • Strategic Data Interpretation
  • Research and Evaluation Methodology
  • Strong Written and Oral Communication
  • Collaboration Across Multidisciplinary Teams
  • Relationship Building with State and Federal Partners
• Minimum Qualifications:
  • Bachelor's degree in Public Health, Epidemiology, Biostatistics, Data Science, Statistics, Health Informatics, Computer Science, or a related field
  • 2+ years of relevant experience
  • Experience managing and analyzing large public health, healthcare, or surveillance datasets
  • Proficiency in SAS, R, SQL, and data visualization tools
  • Knowledge of epidemiologic methods, statistical analysis, data quality management, and public health surveillance systems
  • Experience preparing technical documentation and communicating analytic findings to diverse audiences
• Preferred Qualifications:
  • Master's degree or PhD in Public Health, Epidemiology, Biostatistics, Data Science, or a related discipline
  • 5+ years of relevant experience
  • Familiarity with CDC data standards, human subjects protections, IRB processes, and federal data governance requirements
  • Experience working with multi-state surveillance systems and collaborating with state health departments and public health partners

Pay And Benefits

The annual salary for this position is $85,000 to $105,000. At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.