Analytica

Risk

• Develop and lead the organization’s data governance strategy, roadmap, and maturity model.
• Establish enterprise data governance policies, standards, and operating frameworks.
• Partner with executives, data owners, and SMEs to define governance priorities, value drivers, and decision-making authority.
• Build and mentor a data governance community including stewards, custodians, and business/data SMEs.
• Drive cross-functional alignment and stakeholder engagement for unified data architecture.
• Lead vendor assessments and tool evaluations for data cataloging, metadata management, lineage, and data quality platforms.
• Oversee tool implementation and integration with source systems, cloud platforms (AWS/Azure/GCP), and analytics environments.
• Configure and govern cataloging platforms (Collibra, Alation, Informatica EDC, Purview, Glue Data Catalog, etc.).
• Enable data discovery, data lineage visibility, business glossaries, and steward workflows.
• Ensure consistent metadata capture across ETL pipelines, data lakes, and data warehouses
• Install, configure, test, maintain, and debug data management software, systems, and associated capabilities specifically dealing with data governance and related persona user interfaces.

Data Governance Lead

Data Scientist

• Support long-term federal client engagements projects in the DC Metro area
• Apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems
• Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python
• Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText
• Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem
• Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results
• Visualization - Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges

Data Scientist – NLP

Business Analyst

• Support USCIS in streamlining and improving business operations and information technology investments
• Facilitate cross-functional collaboration among USCIS offices and external agencies
• Implement Agile methodologies and support data-driven decision-making

Agile Business Analyst

Data Engineer

• Translate business requirements to data engineering solutions to support an enterprise scale AWS and/or Databricks based data environments.
• Support designing, maintaining, automating and optimizing ETL operations ensuring data quality and efficient data management.
• Design, build, and optimize scalable data solutions using a Medallion Architecture.
• Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously.
• Integrate data from various structured and unstructured sources to enable high-quality business insights.
• Implement effective data management strategies to ensure data integrity, availability, and accessibility.
• Identify opportunities for cost optimization in data storage, processing, and analytics operations.
• Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management.
• Collaborate with the team to enable advanced AI-driven analytics and data science workflows.

• Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
• Conduct ETL, exploratory data analysis (EDA), data wrangling to develop and present innovative ML algorithms to enhance healthcare system and collaboration.
• Apply ML techniques and time series for predictive analytics to support faster and more accurate healthcare outcomes.
• Design, develop, deploy NLP and AI/ML models incorporating unit testing, performance validation, and post-deployment monitoring to ensure reliability and scalability.
• Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
• Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
• Enhance user engagement with dynamic, drill-through capabilities and actionable insights embedded with dashboards.
• Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.
• Produce clear and comprehensive documentation, including business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
• Develop presentation materials (e.g., PowerPoint summaries, technical briefs) to support algorithm approval processes and facilitate stakeholder communication.
• Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.

Data Analyst

• Managing day-to-day activities to ensure catalog/metadata processes run smoothly
• Answering queries from various teams, troubleshooting issues and updating metadata as needed through a variety of internal tools.
• Completing various metadata audits, acting on findings as necessary, and reporting audit progress against goals to support team activities.
• Helps define requirements and standards for the metadata repository and solution
• Reconciles collected data with other authoritative metadata sources

Metadata Analyst

Software Engineer

• Develop, maintain, and enhance legacy mainframe applications that support IRS tax processing, compliance, and data management systems
• Write, test, and troubleshoot programs using Assembler, JCL, and related IBM z/OS utilities
• Monitor and manage batch jobs through SDSF and other system tools, ensuring timely and accurate processing
• Debug and resolve production issues, performing root-cause analysis and ensuring system stability
• Manage code changes and version control using Endevor in compliance with IRS change management procedures
• Transfer and integrate data across systems using FTP/SFTP and other mainframe file management tools
• Collaborate with business and technical teams to analyze requirements, design solutions, and implement enhancements
• Document system specifications, program logic, and procedures to support maintenance and knowledge transfer
• Ensure compliance with IRS security and data integrity standards, participating in audits and reviews as needed
• Contribute to modernization efforts, supporting integration of legacy systems with emerging technologies and improving overall system performance

z/OS Mainframe Programmer

• Support USCIS in streamlining and improving business operations and information technology investments
• Facilitate cross-functional collaboration among USCIS offices and external agencies
• Implement Agile methodologies
• Support data-driven decision-making
• Program and Project Management
• Agile Implementation and Facilitation
• Business Process Optimization
• Operational Readiness and Deployment Support
• Data Analytics and Decision Support
• Strategic Communications and Change Management
• Technology Integration and Testing

Subject Matter Expert, Business Analyst

Communications

• Support USCIS in streamlining and improving business operations and information technology investments.
• Facilitate cross-functional collaboration among USCIS offices and external agencies.
• Implement Agile methodologies.
• Support data-driven decision-making.
• Execute program/project management support.
• Provide strategic communications and change management.

Communications Strategist

• Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges
• Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment
• Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results
• Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders
• Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends
• Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner
• Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team
• Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling

• Serve as the technical owner and administrator for Microsoft Purview, configuring collections, scan rules, integration pipelines, and access controls
• Automate metadata ingestion and lineage capture from Azure services (Synapse, ADLS, SQL DBs, Power BI) and external sources (Snowflake, SAP, Oracle, etc.)
• Build and maintain custom classifiers, sensitivity labels, and data asset registration routines
• Integrate Purview with existing data pipelines, CI/CD workflows, or APIs for catalog updates
• Design and maintain technical metadata models, business glossaries, and term hierarchies
• Troubleshoot and optimize Purview scans, self-hosted IRs, and service dependencies
• Implement RBAC and access policies for secure catalog usage
• Collaborate with data engineers, platform teams, and stewards to improve metadata quality and catalog adoption
• Stay current on Microsoft roadmap updates and evolving best practices in metadata management

Azure Data Engineer

Research Analyst

• Support the Department of Homeland Security, US Citizenship and Immigration Services (USCIS) project
• Extract data from various IT systems using SQL and other programming languages
• Work with various types of data to develop, maintain and enhance reports, analysis and models
• Manage, treat and integrate data to create clean, structured data sets for use in reports, analyses, studies and models
• Conduct both qualitative and quantitative research using client data; formulate hypotheses, test them and present results
• Use advanced statistical techniques to identify and measure trends, anomalies, forecast future values and determine other relevant insight
• Document requirements, processes and develop SOPs
• Collaborate with team and stakeholders; work independently in a fast-paced, detail-oriented environment

Data Research Analyst

Product Manager

• Provide product vision and delivery of clients’ data products and catalog implementations
• Translate business outcomes into a practical roadmap, partner with engineering, and drive adoption of data governance capabilities on agile project teams for federal government clients in the DC metro area
• Regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the delivery of data management and governance products
• Own and prioritize the backlog for data product rollouts; convert business outcomes into epics, user stories, and clear acceptance criteria
• Lead requirements gathering via stakeholder interviews, workshops, and process mapping; reconcile competing needs and set release priorities
• Define end‑to‑end test scenarios (UAT) for metadata ingestion, lineage, search, glossary/stewardship workflows, coordinate test execution and defect triage
• Partner with data engineering/architecture to design connectors, curation pipelines, and governance workflows that are scalable, secure, and compliant
• Drive change management and training; track adoption KPIs (catalog coverage, active users, glossary completeness, steward SLAs) and report progress to sponsors

Data Product Owner

• Senior Data Analyst role to support a defense health mission critical program
• Requires US Citizenship with SECRET clearance or ability to obtain one
• Role may be Hybrid (San Antonio, TX or Falls Church, VA) or remote with periodic travel
• Analyze data, develop ML algorithms, ETL, EDA, data wrangling to improve healthcare delivery
• Build dashboards in Python, Power BI, and/or Tableau for real-time healthcare analytics
• Engage with clinical/operational stakeholders to gather requirements and translate into data solutions
• Produce documentation and presentations for algorithm approvals and stakeholder communication
• Ensure high reliability, data integrity and governance across projects

Senior Data Analyst

Administration

• Support a dynamic federal government project as a Junior Tableau Administrator
• Monitor and optimize Tableau Server performance, license usage, and storage capacity
• Manage user provisioning, permissions, and access requests per governance standards
• Assist with server upgrades and validate functionality across Dev, Test, and Prod
• Troubleshoot dashboard and data source performance issues and escalate as needed
• Develop governance documentation, guides, and training content
• Conduct training and workshops on Tableau Desktop, Prep Builder, and dashboard design
• Foster a data-driven community by coordinating user groups and supporting content creation
• Work with U.S. government customers in health, civilian, and national security missions

Tableau Administrator

Business Intelligence Developer

• Support Power BI environment deployment and enforce governance standards
• Provide training, documentation, and hands-on workshops to enable user adoption
• Troubleshoot dashboard and data issues, performance, and data connectivity
• Manage workspaces, monitor licenses, storage capacity, and performance metrics
• Ensure compliance with approved governance model and publishing processes
• Assist migration of existing dashboards to Power BI and prepare for future migrations
• Develop and enhance Power BI dashboards, reports, and semantic models based on stakeholder requirements
• Respond to user inquiries related to dashboard usage, publishing workflows, permissions, and data connectivity
• Collaborate with stakeholders, leadership, and Microsoft representatives as needed
• Work on federal government projects in health, civilian, and national security missions at Analytica

Power BI Developer

• Support a defense health mission-critical program delivering healthcare analytics and decision support at Analytica
• Work directly with clients in consulting and delivery capacity to solve complex healthcare problems
• Conduct ETL, exploratory data analysis (EDA), and data wrangling to prepare data for modeling
• Develop and present ML algorithms and time-series predictive analytics to improve healthcare outcomes
• Design, develop, and deploy NLP and AI/ML models with unit testing, performance validation, and post-deployment monitoring
• Create interactive dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time analytics
• Collaborate with clinical and operational stakeholders to gather requirements and translate into actionable dashboards
• Execute quality control procedures to ensure data integrity and optimized algorithm/dashboard performance
• Produce documentation: business requirements, technical specs, user training, versioned documentation, and presentation materials to support approvals

QA Engineer

• Regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the delivery of data management and governance products
• Develop and execute test plans covering configuration, integration, regression, performance, smoke, and UAT scenarios
• Validate end-to-end workflows across data pipelines, APIs, catalog integrations, and governance tools to ensure seamless functionality
• Collaborate with product owners, engineers, and business stakeholders to define acceptance criteria and ensure requirements are testable
• Automate repetitive test cases where feasible to accelerate regression and performance testing cycles
• Document test results, track defects, and work closely with engineering to drive resolution and retesting
• Partner with engineering, product, and business stakeholders to validate that solutions meet client requirements and are production ready

Test Engineer, Data Products

Analytica is seeking a data products Product Owner to provide product vision and delivery of clients’ data products and catalog implementations.
Translate business outcomes into a practical roadmap, partner with engineering, and drive adoption of data governance capabilities on agile project teams for federal government clients in the DC metro area.
Comfortable working directly with clients in both a consulting and delivery capacity to tackle complex, enterprise cloud or on-premises software and technology projects.
Regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the delivery of data management and governance products
Own and prioritize the backlog for data product rollouts; convert business outcomes into epics, user stories, and clear acceptance criteria.
Lead requirements gathering via stakeholder interviews, workshops, and process mapping; reconcile competing needs and set release priorities.
Define end‑to‑end test scenarios (UAT) for metadata ingestion, lineage, search, glossary/stewardship workflows, coordinate test execution and defect triage.
Partner with data engineering/architecture to design connectors, curation pipelines, and governance workflows that are scalable, secure, and compliant.
Drive change management and training; track adoption KPIs (catalog coverage, active users, glossary completeness, steward SLAs) and report progress to sponsors.

Product Owner

• Lead the design and implementation of an enterprise metadata model in Alation aligned with business goals.
• Develop and execute workflows integrating metadata with Unity Catalog and Alation
• Govern data access using and implement best practices for secure data sharing.
• Establish and optimize distributed workspaces in Databricks using Unity Catalog.
• Drive cross-functional alignment and stakeholder engagement for unified data architecture.
• Install, configure, test, maintain, and debug data management software, systems, and associated capabilities specifically dealing with data governance and related persona user interfaces.

Data Governance Lead - Databricks / Alation

• Data Governance Lead to lead data governance activities including curating data assets, ensuring data catalog alignment to agency-wide strategy, mature data standards and data management
• Own end-to-end management of data governance platform, enabling automated metadata capture, data classification, and enterprise-wide discoverability of data assets
• Work with U.S. government clients in health, civilian, and national security missions to build better technology products
• The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.