Data Analyst

Fortis Industries, Inc. DBA - LTS, Inc.; Atmore (AL); On-site; USD 80,000 - 110,000; Full time

Job summary

PCI Federal Services (PCIFS) seeks a data analyst to conduct reproducible public health data management, surveillance analysis, and reporting to support DNPAO decisions. You will work with NHANES, NHIS, BRFSS, and other datasets using R, Python, SAS, SQL, and GIS tools.

The role requires a Bachelor's degree and at least 5 years of public health data experience, with strong communication and documentation skills in a multidisciplinary, deadline-driven environment.

Qualifications

• Bachelor's degree required.

Responsibilities

• Acquire, clean, transform, and maintain public health datasets.
• Conduct descriptive, inferential, regression, trend, geospatial analyses.
• Use R, Python, SAS, SQL, visualization, or GIS tools as appropriate.
• Develop tables, figures, dashboards, scorecards, and accessible visuals.
• Create reproducible code, data dictionaries, methods, benchmarks, and QC docs.
• Communicate findings and limitations to technical and program audiences.

Skills

Public health data analysis

Descriptive statistics

Data visualization

R programming

Python programming

SAS

SQL

Geospatial analysis

Technical documentation

Communication

Education

Bachelor's degree

Tools

Power BI

Tableau

GIS

Job description

Position Status

Position Status: Contingent upon contract award.

Position Summary

Conduct reproducible public health data management, surveillance analysis, statistical analysis, visualization, and reporting that supports DNPAO scientific, programmatic, policy, and evaluation decisions. This role supports DNPAO epidemiology, surveillance, evaluation, policy analysis, and program-impact reporting. Assignments may involve public-use datasets such as NHANES, NHIS, BRFSS, YRBS, NIS, mPINC, or NSCH; large administrative and recipient datasets; GIS, mobility, image, or policy-text data; R and Python analyses; dashboard and scorecard production; data-quality checks; and reproducible documentation for scientific and decision-making products.

Key Responsibilities

• Acquire, clean, transform, merge, validate, and maintain public health and program datasets.
• Conduct descriptive, inferential, regression, trend, geospatial, policy, or other appropriate analyses.
• Use R, Python, SAS, SQL, visualization, or GIS tools as appropriate to the assignment.
• Develop tables, figures, maps, dashboards, scorecards, and accessible visualizations.
• Create reproducible code, data dictionaries, methods, benchmarks, and quality-control documentation.
• Communicate findings, limitations, discrepancies, and recommendations to technical and program audiences.

Minimum Qualifications

• Education: Bachelor's degree.
• Experience: At least 5 years of experience analyzing public health, epidemiologic, surveillance, evaluation, administrative, policy, or large-scale research data.
• Demonstrated proficiency with relevant tools such as R, Python, SAS, SQL, Power BI, Tableau, or GIS and experience with data cleaning, quality assurance, reproducible code, visualization, interpretation, and technical documentation are strongly preferred.
• Demonstrated ability to produce accurate, timely, and high-quality work in a multidisciplinary, deadline-driven environment.
• Strong written and verbal communication, collaboration, organization, judgment, and client-service skills.

Preferred Qualifications

• Prior experience supporting CDC, HHS, another federal health agency, a public health recipient network, or a comparable mission-focused organization.

Core Competencies

• Public service orientation
• Technical credibility
• Cultural responsiveness
• Collaboration
• Clear communication
• Accountability
• Adaptability
• Quality focus
• Sound judgment
• Ability to work effectively with CDC staff, recipients, partners, subcontractors, and subject matter experts.

PCI Federal Services (PCIFS) and its subsidiaries is an equal-opportunity employer. PCIFS does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status. Preference may be extended to qualified Native American Indian candidates in accordance with applicable federal law.

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