Analytics Engineer

• Designs, develops, and maintains complex, Python‑based analytical applications that support decision‑making, reporting, and long‑term enterprise planning
• Leads the development of scalable architecture, modular codebases, and maintainable application components
• Implements secure software engineering practices, version control, testing frameworks, and code review processes to ensure high reliability, usability, and long‑term sustainability
• Serves as the primary software engineer for enterprise tools such as the Enterprise Capacity Analysis (ECA) application and related analytical platforms
• Builds and maintains data ingestion, transformation, validation, and integration pipelines that support analytical applications
• Develops and optimizes SQL queries, relational database schemas, and data access patterns to support performance‑critical workloads
• Ensures data structures and workflows align with evolving analytical and programmatic requirements across the nuclear security enterprise
• Develops user‑facing analytical interfaces, dashboards, visualizations, and interactive tools that help analysts and leadership understand complex datasets, review model outputs, assess scenarios, and generate insights
• Designs intuitive interfaces using Python‑based frameworks and visualization libraries to translate analysis into actionable information for decision‑makers
• Ensures application usability, accessibility, and responsiveness
• Supports program planning, evaluation, and performance tracking by conducting cost, schedule, and risk analyses
• Collaborates with various NNSA offices (NA-11, NA-15, NA-18, NA-19) and stakeholders across the nuclear security enterprise to develop standardized analytical workflows and support future analysis needs
• Prepares program cost and budget documentation over several budget fiscal years, including the development of complex spreadsheets, development of program planning and budget briefings, and draft preparation of work authorizations and approved funding program documentation
• Provides program management support in the preparation, coordination, evaluation, review and analysis of program execution plans and tracking, monitoring, and reporting of program-specific milestones and updates of annual performance measures

Software Engineer, Analytics

• Define and manage data product roadmap, epics, and tasks needed to deliver client outcomes
• Transform raw data into actionable insights that drive strategic business decisions
• Analyze data to identify trends, patterns, and insights
• Leverage your expertise in data visualization in tools such as Databricks, Tableau, Power BI and MS Excel to create compelling visual representations of your findings
• Assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide
• Develop detailed reports that summarize your analyses, offering clear and concise recommendations to support decision-making processes

Data Analytics Specialist

• Support the design, development, and maintenance of data platforms
• Configure and maintain data warehouse / lakehouse and related code base and schemas for the firm, including integrations with Finance, HR, Marketing, and other firm-related database applications
• Develop, document, and maintain key data integration processes in support of projects and ongoing services
• Provide data integration services in support of local and hosted environments for enterprise applications including the use of APIs and other connection methods
• Design, implement and maintain scalable and reliable data pipelines, data quality and transformation processes, and databases to support a variety of data and analytics needs
• Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
• Manage and optimize data storage using Azure Data Lake Storage and Azure SQL Data Warehouse
• Develop data models and maintain data architecture to support data analytics and business intelligence reporting
• Ensure data quality and consistency through data cleaning, transformation, and integration processes
• Proactive monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance
• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions
• Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information
• Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
• Support the appropriate sourcing, evaluation, selection, and utilization of data engineering tools, particularly emerging artificial intelligence-enabled products
• Support the custom development and implementation of proprietary Machine Learning, LLM and AI enabled products, including the selection and engagement of solutions partners, development of grounding, RAG, vectorizing, and related technical protocols and procedures
• Support to use-case evaluation and product design and implementation
• Optimize data processing systems to enhance performance, improve reliability and optimize cost
• Participate in cross-functional relationships with software engineers, solutions engineers, and other business stakeholders to collaboratively create solutions, development standards, and support business processes
• Partner with the broader Data Strategy team in the development and maintenance of a comprehensive and up-to-date data catalog by overseeing the capture of end-to-end data flows and the creation of source-to-target documentation, ensuring a detailed and accessible repository that enhances data understanding and transparency across the organization
• Support a culture of excellence in data transformations and clear schema design, ensuring alignment with operational and analytical business requirements
• Ensure our data architecture is secure and compliant per company policies and industry standards
• Support information and data governance roles in applying appropriate firm policies
• Collaborate among a team of data engineers and liaise closely with data solutions analysts and database administrators with a strong focus on high-quality solution delivery and team culture
• Partner with IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements
• Support data and intelligence solutions teams as we establish COE and best practices for analytics and data dashboard and application design and development
• Develop standard metrics reporting and analyze trends to measure the quality and quantity of data maintained within the data platform
• Contribute to standard configuration documentation and related guides for data consumers
• Collaborate to design end-user training, onboarding, and user adoption programs and communications
• Special projects and duties as assigned

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