Data Analyst I (ERIB)

Goldbelt, Inc.

Massachusetts

On-site

USD 80,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company match
Paid time off
Professional development

Job summary

Goldbelt Professional Services is seeking a Data Analyst I to provide data management and analytic support for the Epidemiology Research and Innovations Branch (ERIB).

The role involves applying statistical methods, managing data sources, and developing reports and visualizations to support public health initiatives.

Qualifications

  • Experience in public health research and evaluation to analyze and advise.
  • Proficiency with statistical software such as SAS/R/Python.
  • Strong communication and documentation skills.

Responsibilities

  • Apply data management and analytic expertise to health data sources.
  • Submit SAS/R/SQL/Databricks code for QC, data manipulation and reporting.
  • Conduct SAS/R analyses including frequency, 2x2 analyses, and regression models.
  • Support scientific publications through tables and charts.
  • Develop data dictionaries and project documents with investigators.
  • Assist in data source acquisitions and research approvals.
  • Communicate with project leaders and partners.
  • Maintain databases, SharePoint sites, and visualization tools.
  • Collaborate with scientists on project development and evaluation.
  • Assist during CDC activities and training when needed.

Skills

SAS
R
Python
SQL
Databricks
Decipher
Spark
MS Office
SharePoint
Communication
Data management

Education

Master’s degree in Statistics
Master’s degree in Data Science
Master’s degree in Public Health
Bachelor’s degree in related field

Tools

SAS
R
Python
SQL/Databricks
Decipher
Spark
Databricks

Job description

Overview

Goldbelt Professional Services specializes in providing expert resources for Public Health missions including scientific, technical, and administrative support from junior staff to high-level subject matter experts. Research and data driven, Goldbelt Professional Services’ experts create solutions customized to the client’s needs.

Summary:

Goldbelt Professional Services is seeking a Data Analyst I to provide data management and analytic expertise support for the Epidemiology Research and Innovations Branch (ERIB).

Responsibilities

Essential Job Functions:

  • Apply data management and analytic expertise to administrative and other data sources, including AR Lab Network, NNDSS-CPO, and electronic healthcare data.
  • Create and submit documented SAS code or code in other languages/platforms (Decipher, Spark, R, SQL/Databricks) for quality control, data manipulation, standard reports, and cleaning.
  • Create and submit SAS/R code for statistical and epidemiological analyses, including frequency analyses, 2x2 analyses, and regression models.
  • Facilitate programming and data management leading to scientific publications; prepare tables and charts.
  • Develop data dictionaries and management documents with principal investigators.
  • Aid acquisitions and renewals of administrative data sources by developing request packages, use agreements, and research approvals.
  • Communicate with internal and external project leaders and partners.
  • Develop and maintain project/product databases, SharePoint sites, Teams, and visualization tools.
  • Participate with scientists and program consultants in project development and evaluation, including literature reviews.
  • Participate in meetings, conferences, and 1–2 site visits for communication and protocol standardization.
  • Participate during CDC response activities and training exercises under direction of the DHQP Team Lead; duties include staffing the EOC desk to help support CDC's mission.
Qualifications

Necessary Skills and Knowledge:

  • Knowledge of the principles, concepts, methods, and techniques of public health research and evaluation to analyze, evaluate, and provide expert advice and consultation.
  • Knowledge of the principles, methods, applications, and state-of-the-art technology in the position's scientific area of responsibility to provide direction and guidance on critical and complex issues.
  • Ability to communicate orally and in writing to make clear, convincing presentations.
  • Knowledge of the rules, procedures, and principles that govern intramural and extramural program development, monitoring, and evaluation.
  • Highly proficient in using Microsoft Office Tools (Word, Excel, Access, PowerPoint, Teams, and SharePoint).
  • Excellent judgment and decision-making; capable of working independently with ability to multitask successfully.
  • Demonstrate excellent written and verbal communication in interpersonal exchanges.
  • Highly organized with great attention to detail.

Minimum Qualifications:

  • 1–2 years of relevant work experience in a relevant public health or quantitative field.
  • Highly proficient in using various statistical software (SAS, R, Python, etc.)
  • Knowledge of data management systems and application of data management software.
  • Previous experience working with the government procedures and guidelines.
  • Ability to obtain and maintain CDC Public Trust Clearance.

Preferred Qualifications:

  • Master’s degree in Statistics, Data Science, Public Health, or related field.
  • 3 – 5 years of experience providing public health data analysis and manipulating, cleaning, and reporting data using a variety of statistical functions.
  • Prior experience working with the CDC is highly desired to understand the culture and environment.
Pay and Benefits

The salary range for this position is $80,000.00 to $90,000.00 annually.

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.

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