Individual Placement - Public Health Data Analyst

Student Conservation Association

2h•Remote

About The Position

The Data Analyst Intern will be assigned to the Prevention and Response Branch (PRB) to support the National Park Service (NPS) Office of Health and Safety (OHS) with safety and disease prevention priorities, including analyzing various data sets to identify disease and injury trends in national parks; causal and contributing factors to diseases and injuries, high risk populations, and location specific information to target and improve safety and health efforts across the NPS. The intern will be responsible for developing data rules, performing data clean-up and coding, conducting data analysis, and generating various outputs (reports, dashboards, etc.) to inform safety efforts at different levels of the organization. The intern will be responsible for developing presentations and conducting briefings on analysis results to program managers in the OHS. The intern will also have the opportunity to support various public health initiatives within the PRB to include developing and updating relevant and engaging safety and health content on external (NPS.gov, NPS social media), and internal platforms. The intern will have the opportunity to collaborate with the OHS Division Chief and Branch Chiefs, safety professionals, public health professionals, communications staff and other subject matter experts across the NPS. In addition to strengthening data analysis and reporting skills, the intern will have the opportunity to learn project management, communication planning, policy and guidance development, and creating public health related training for adult audiences.

Requirements

A 1-2 page resume
Recent graduate with a minimum of a master’s degree in public health or data science specializing in data analytics or epidemiology
Expert in using Microsoft Excel, Microsoft Word and Microsoft PowerPoint
Experience in conducting public health research, developing methodologies for collecting and analyzing quantitative or qualitative data
Experience in conducting comprehensive literature reviews, preparing citations and translating findings into informational documents, technical papers
Experience in managing and analyzing data sets for technical reports or research
Ability to work independently with some oversights to effectively plan and manage tasks as assigned, and to complete tasks as expected by the deadline
Ability to work in a team environment, collaborating on common tasks and resolving conflicts
Ability to effectively work in a virtual remote environment, completing assignments on time
Skill in written and verbal presentations of technical material to make complex studies understandable to persons not trained in epidemiology or statistics
Ability to establish and maintain interpersonal relationships with individuals and groups from different backgrounds, technical expertise, and interests
Ability to anticipate, recognize, and analyze problems and to make effective decisions, develop alternatives and communicate to supervisor when needed

Nice To Haves

Proficient in using R Statistical Software
Proficient in using Power BI and Microsoft Teams.

Responsibilities

Project Management: Apply project management principles in defining and scoping work tasks, developing schedules, conducting stakeholder analysis to provide targeted project deliverables
Data Collection: Gather data from internal systems, surveys, APIs, or other available data sources
Data Cleaning & Preparation: Identify and correct errors, remove duplicates, and format data for analysis
Data Analysis: Use statistical methods and tools (e.g., Excel, PowerBI, Power Query, or R) to uncover trends, patterns, and correlations
Reporting & Visualization: Create charts, dashboards, and reports using tools like Power BI, Excel, or Word to present findings clearly
Communication and Collaboration: Use effective oral and written methods to convey information in a professional setting to successfully collaborate with co-workers and colleagues to understand their data needs and provide insights
Documentation: Record methodologies, data sources, and findings for transparency and reproducibility
Data Management: Maintain and update data files to ensure data integrity and accessibility
Quality Assurance: Conduct regular audits to ensure data accuracy and consistency
Process Improvement: Recommend ways to improve data collection, storage, and analysis workflows
Meeting Management: Prepares meeting invitations, agendas, lead coordination meetings for assignments/projects, and prepare summary meeting minutes
Literature review: conduct literature reviews on infectious diseases and public health prevention and control measures.
Scientific writing and communication: contribute to the development of case reports, surveillance summaries, situation reports, briefing documents, fact sheets, and scientific articles