Calibre · 9 hours ago
Senior Data Analyst
United States
Full-time
Remote
Senior Level
$150K/yr - $150K/yr
5+ years expCALIBRE Systems, Inc. is an employee-owned mission focused solutions and digital transformation company, seeking a highly motivated Senior Data Analyst to support a federal client. The role involves collecting and analyzing data, defining success metrics, and presenting insights to influence organizational strategies.
ConstructionProfessional ServicesProject Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Collect and analyze statistics and information from multiple sources to identify trends and provide actionable insights that give the organization a competitive advantage
Define success metrics for analytical initiatives and manage the end‑to‑end lifecycle of deployed models
Communicate informed conclusions and recommendations across the organization’s leadership structure
Strategize and identify unique opportunities to locate and collect new data; explore and mine data from multiple angles to determine meaning and business impact
Present data findings to both business and IT leaders to influence organizational strategies for addressing evolving customer needs and market changes
Discover and recommend new uses for existing data sources; design, modify, and build new data processes
Build large, complex datasets and develop scalable data research solutions on and off the cloud
Conduct statistical modeling, experiment design, and validate predictive models
Develop advanced data visualizations and dashboards to communicate insights effectively
Develop, train, and validate predictive models using established machine learning techniques
Use data science techniques to solve analytical problems with incomplete datasets and implement automated processes for producing scalable models
Collaborate with database engineers and other scientists to refine and scale data management and analytics workflows, systems, and best practices
Train data management teams and more junior data scientists on updated procedures and write quality documentation
Lead ML engineering efforts, including feature design, model selection, and performance optimization
Define model lifecycle requirements (evaluation, retraining criteria, and acceptance thresholds)
Partner with Data Engineering to ensure models are production‑ready and reliable
Qualification
Required
Expertise in data visualization tools and techniques (e.g., Tableau, Power BI, D3.js)
Strong proficiency in statistical analysis and predictive modeling
Advanced knowledge of data governance principles, including compliance and security standards
Ability to communicate complex technical insights to non-technical stakeholders using clear visualizations and storytelling
Strong collaboration skills for working with cross-functional teams and leadership
Ability to properly handle and mask sensitive healthcare data to meet Federal data compliance standards
Basic working knowledge (i.e. ability to understand, speak about, and participate in solutioning) of the following domains: Data privacy (specifically PII/PHI), the software development life cycle, Federal data policies, the Tricare Military Health System
Advanced degree (Master's or Ph.D.) in Data Science, Computational Science, Statistics, or a related field
Extensive experience in quantitative research, statistical modeling, and predictive analytics
Proven ability to manage complex data-centric projects, specifically within federal or regulated environments
5+ years of experience working with Federal agencies (preferably healthcare and/or data-centric projects)
Experience with AWS cloud-based data solutions and scalable architectures
Active Secret Clearance at the Department of Defense (or eligibility to obtain a clearance)
Ability to work east coast business hours (8am-5pm)
Active Security+ certification
Preferred
AWS Certification Preferred
Benefits
Full benefits package
Company
Calibre
Calibre offers diversified engineering, advisory, project delivery, construction and asset management services.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase