ICF International-posted 3 months ago
$73,722 - $125,327/Yr
Full-time • Senior
Remote • Reston, VA
Administrative and Support Services

We are seeking a Senior Data Analyst to lead a complex, fast-paced digital modernization effort, transforming legacy reporting systems into a modern, scalable, and AI-augmented data ecosystem. In this role, you'll guide a cross-functional team in migrating thousands of fragmented legacy reports and data into a unified, cloud-native architecture built on modular frameworks. This role supports a major digital modernization initiative focused on strengthening regulatory insight, enhancing program effectiveness, and improving public safety outcomes through high-impact analytics. You'll play a pivotal role in re-architecting data logic, enabling modular reporting design, ensuring end-to-end data accuracy, and laying the groundwork for advanced insights powered by AI/ML. If you are passionate about driving clarity from complexity, influencing enterprise data decisions, and designing sustainable analytics frameworks using modern cloud technologies, we want to hear from you.

  • Lead the discovery and rationalization of thousands of legacy reports, identifying redundant logic, business-critical content, and opportunities for consolidation
  • Architect and validate semantic reporting layers and data models that support scalable, reusable, and user-driven analytics
  • Collaborate with solution architects and engineers to redesign reporting logic from static Oracle OBIEE reports to a cloud-native Databricks + Azure environment
  • Oversee the migration planning, including dependency mapping, technical specification, and data quality assurance
  • Work directly with stakeholders to uncover hidden logic in legacy reports and convert it into modular components that are easier to manage, validate, and scale
  • Design and guide the creation of BI/Reporting frameworks that enable AI-ready analytics and future automation
  • Translate high-level business needs into detailed technical requirements for ETL development, data modeling, dashboarding, and ML integration
  • Provide leadership in data validation, QA, and business rule traceability to ensure trust in every reporting output
  • Serve as the primary liaison for cross-team communication, aligning priorities across business, data, and engineering stakeholders
  • Work with Project Manager, Data/Solution Architect and Development team to plan and manage Agile Sprints for product delivery.
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related technical field
  • 7+ years of experience in data analysis, BI solution design, and reporting system transformation
  • US Citizen or Permanent Lawful Resident (Green Card Holder) preferred.
  • Employment must be compliant with eligibility for Public Trust Clearance due to Government Contract.
  • Demonstrated experience leading or co-leading large-scale reporting modernization initiatives
  • Deep proficiency in SQL for complex joins, transformations, and validation at scale
  • Strong understanding of Azure Synapse, Data Factory, Databricks, or similar platforms
  • Experience with data profiling, source-to-target mapping, and modular report development frameworks
  • Expertise in developing semantic layers, reusable datasets, and standardized metrics across BI platforms
  • Proficiency with BI tools such as Power BI, Tableau, or Looker for analysis and dashboard validation
  • Experience modernizing complex legacy BI environments, including identifying report logic embedded in hard-coded systems
  • Familiarity with AI/ML integration points within analytics workflows, such as feature engineering, output validation, and explainability
  • Understanding of data lakehouse architectures, Delta Lake, and real-time streaming use cases
  • Experience creating automated validation frameworks and supporting ML-enabled QA pipelines
  • Proven ability to connect the dots between business value, data design, and visual storytelling
  • Familiarity with CI/CD practices and automation in modern SDLC for analytics deployment
  • Ability to coach others in data governance, semantic alignment, and documentation standards for reporting ecosystems
  • Generous vacation and retirement plans
  • Comprehensive health benefits
  • Flexible work environment
  • Ongoing training and development opportunities
  • Inclusive and collaborative culture
  • Meaningful work that impacts communities
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service