Develop and maintain systems to capture and process large-scale datasets from scraping, automated collection, and external data feeds
Design data pipelines that ingest structured and unstructured data at scale
Manage ETL processes to clean, normalize, and integrate multiple data sources
Analyze large datasets to identify population sentiment, behavioral patterns, and digital engagement trends
Apply statistical analysis, machine learning, and natural language processing techniques to extract insights from text and social media data
Monitor shifts in online discourse and emerging narratives
Design and implement scalable big data architectures to support large analytical programs
Integrate data systems into platforms used for digital awareness and influence analysis programs
Ensure systems support high-volume processing and rapid analytical outputs
Translate complex datasets into actionable insights for program planners and decision makers
Develop dashboards, visualizations, and analytical reports

Requirements

9 years relevant experience with Bachelors in related field;
7 years relevant experience with Masters in related field;
4 years relevant experience with PhD or Juris Doctorate in related field;
High School Diploma or equivalent and 13 years relevant experience
Experience with large-scale data analytics and distributed data systems
Strong proficiency in Python and SQL
Experience working with large datasets from scraping, APIs, or automated collection systems
Experience designing data pipelines and big data processing workflows
Willingness to deploy up to 50% of the time as required by mission needs

Benefits

Health insurance
Dental and vision plan choices
Wellness resources
Employee assistance programs
401(k) retirement plan options
Financial planning tools
Life insurance
Employee discounts
Paid holidays and paid time off
Tuition reimbursement
Early childhood and post-secondary education scholarships

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLETL processesdata pipelinesstatistical analysismachine learningnatural language processingbig data architecturesdata visualizationdata analytics

Soft Skills

analytical skillscommunicationproblem-solvingattention to detailcollaborationadaptabilitycritical thinkingtime managementdecision makingorganizational skills