Data Analyst

• Extract, clean and validate data from databases and other sources
• Analyze data to find trends, issues and opportunities
• Build reports, dashboards and visualizations for stakeholders
• Write SQL queries to support analysis and reporting
• Check data quality and document data definitions
• Present findings and recommendations to technical and non-technical audiences
• Support ad hoc data requests
• Perform other duties as assigned

• Design, develop, maintain, and optimize ETL processes for data integration, validation, reporting, and analytics.
• Conduct business analysis using statistical techniques, data mining, and explanatory or predictive modeling.
• Build analytical models and data solutions using Python, Snowflake, Databricks, R, SQL, and SAS.
• Research industry best practices and develop actionable recommendations for business operations.
• Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines.
• Perform data profiling, cleansing, transformation, reconciliation, and quality assurance.
• Design, develop, and support Snowflake data pipelines using Streams, Tasks, Time Travel, Snowsight Notebooks, and Streamlit applications.
• Monitor and resolve production data issues, perform root cause analysis, and implement corrective actions.
• Develop automated data ingestion, validation, auditing, and reconciliation processes.
• Support CI/CD deployment, release management, and process automation.
• Collaborate with cloud engineering teams on AWS solutions using S3, Glue, and Airflow.
• Gather analytical requirements from internal and external clients and deliver ad hoc reports and data products.
• Translate business data into clear insights for technical and non-technical stakeholders.
• Collaborate with business users, data engineers, and technical stakeholders to implement scalable data solutions.
• Participate in team projects and brainstorming sessions supporting program goals.
• Communicate analytical methods and results clearly.

Data Analyst II

• Drive current and future Compliance Testing tooling and analytical strategy
• Plan and execute Compliance Testing analytical projects
• Act as the primary liaison between technical teams and non-technical stakeholders, including Legal, Compliance, and the Executive Board
• Understand technical issues in analytical tools and assess tool risks and opportunities
• Research, identify, and prototype industry best practices for emerging analytical tools
• Communicate results clearly and concisely through reports, presentations, and verbal communication
• Leverage education, colleagues, and training opportunities to develop solutions to business problems
• Coach and mentor junior staff
• Create and implement innovative solutions to identify and mitigate potential Compliance risks
• Partner cross-functionally with senior business and compliance leaders, Technology, Product, Risk Office, Legal, and Risk Management

Senior Manager, Data Analyst – Enterprise Data Risk

• Analyze large-scale cybersecurity and operational datasets, including network logs, authentication data, phishing activity, and threat telemetry
• Explore, clean, transform, validate, and prepare complex or imperfect datasets for analysis
• Perform data extraction, validation, cleansing, transformation, aggregation, and enrichment using Python/Pandas and SQL
• Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making
• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms
• Develop automated data pipelines, reporting processes, and analytical workflows to reduce manual tasks and improve data quality and repeatability
• Apply statistical and machine learning techniques for anomaly detection, classification, pattern identification, and predictive analytics
• Develop and maintain metrics related to cyber activity, authentication trends, phishing events, network activity, and external threats
• Collaborate with cybersecurity analysts, engineers, stakeholders, and program leadership to translate requirements into analytical solutions and insights
• Identify data-quality issues, reporting gaps, inconsistencies, and process-improvement opportunities
• Document data sources, transformation logic, analytical methodologies, business rules, and reporting processes
• Support ad hoc analytical requests and emerging operational requirements

Data Analyst – Cyber Analytics

• Lead the analysis and interpretation of data to drive strategic business decisions
• Mentor and coach junior data analysts, fostering their professional development
• Partner with stakeholders to define data-driven solutions aligned with business objectives
• Design and implement robust data models and architecture
• Develop advanced SQL queries to extract, transform, and analyze data efficiently
• Oversee creation and optimization of dashboards, reports, and data visualizations
• Ensure best practices in data governance, quality assurance, and security compliance
• Drive adoption of new data analysis tools and methodologies
• Collaborate with data engineers and data scientists to improve data pipelines and accessibility
• Communicate complex data insights to executive stakeholders clearly and actionably
• Lead Agile data analysis initiatives aligned with overall business strategy

Lead Consultant, Data Analyst

• Oversee automated daily and monthly enrollment file updates
• Oversee the member reconciliation process for assigned markets
• Resolve complex enrollment issues
• Provide process oversight of daily business operations to Enrollment Analysts for assigned markets
• Serve as Subject Matter Expert for Enrollment Operations in assigned markets
• Monitor market-specific Service Level Agreements (SLAs) per contractual requirements
• Escalate issues to management as needed
• Interface with state agencies, Health Plans, and internal departments to investigate and resolve complex enrollment issues
• Participate in market meetings and audits to provide market-specific details regarding enrollment load and reconciliation processing

Enrollment Data Analyst III

• Refine and evolve people analytics frameworks and data standards
• Plan and execute high-priority data projects and manage end-to-end deliverables
• Research, identify, and prototype next-generation AI and automation tools
• Develop analyses and tools to recruit, retain, and develop talent
• Design frameworks for evaluating workforce program success
• Identify opportunities to transform the associate experience and improve HR tools and processes
• Establish direction for new data assets, data features, and self-service tools
• Develop AI solutions and data products to automate insights
• Partner with clients to design innovative AI-first data solutions for workforce priorities
• Analyze internal and external workforce data and extract insights for data-driven decisions
• Develop and test hypotheses, design solutions, assess feasibility, support implementation, and monitor outcomes
• Collaborate with team members and HR clients
• Communicate insights clearly through written, oral, and visualization skills

Manager, Data Analysis – People Strategy & Analytics

• Analyze large, complex datasets from multiple legacy and modernized systems
• Identify trends, anomalies, and opportunities for optimization
• Collaborate with software engineers, system architects, and cybersecurity teams
• Ensure data integrity and accessibility across modernization efforts
• Translate technical data findings into actionable recommendations for technical and non-technical stakeholders
• Support data integration activities
• Ensure accuracy and compliance with Department of War data governance standards
• Contribute to data quality metrics and automated validation processes
• Support the Department of War Chief Information Officer and a large-scale IT modernization initiative

• Build and maintain the incumbent and spectrum database underpinning the program's database-first architecture
• Ensure overlapping study areas are analyzed once and extended across the full NEXRAD network without rework
• Ingest, normalize, and quality-control data from Government-furnished spectrum datasets, FCC ULS, FAA facility/obstruction data, USGS 3DEP terrain, and commercial spectrum-intelligence sources
• Structure emitter, frequency, power, and antenna parameter data for terrain-informed propagation and interference analysis
• Maintain Clear / Watch / Flagged site risk classification data
• Document classification thresholds and methodology for Government concurrence
• Prepare batched, priority-tiered datasets, with Urgent first, for the NEXRAD Site and Spectrum Baseline Report and physical site survey sequencing
• Develop reusable queries, validation checks, and automated data exports for recurring reports, dashboards, and measurement result integration
• Reconcile measured frequency occupancy and interference results against predicted baseline values
• Flag discrepancies for the spectrum engineering team
• Handle and document spectrum and site data in accordance with Controlled Unclassified Information requirements, including source, date, method, and accuracy tracking
• Support a Radar Site and Spectrum Relocation Analysis Support program for a federal client operating a nationwide network of NEXRAD weather radar facilities

• Analyze and classify workplace injury, illness, fatality, catastrophe, and severe injury or illness records
• Apply standardized case-classification codes using the Bureau of Labor Statistics Occupational Injury and Illness Classification System (OIICS)
• Exercise independent judgment to classify complex or ambiguous cases accurately and consistently
• Draft brief, clear incident narratives in plain, concise language
• Manage multiple work queues and deadlines while maintaining quality and attention to detail
• Collaborate with team members and senior analysts for guidance, quality checks, and knowledge sharing through Microsoft Teams
• Contribute to documentation, process improvements, and evolving analytical practices
• Support national occupational safety and health programs and OSHA efforts to understand injury and illness trends and improve worker safety across the U.S.

Data Analyst jobs in Virginia

Data Analyst

Data Analyst II

Senior Manager, Data Analyst – Enterprise Data Risk

Data Analyst – Cyber Analytics

Lead Consultant, Data Analyst

Enrollment Data Analyst III

Manager, Data Analysis – People Strategy & Analytics

Data Analyst

Data Analyst

Entry-Level Occupational Safety and Health Data Analyst