APPLYONREQ" class="inputbutton" onclick="javascript:setEvent(event);requisitionapplyOnRequisition('requisitionDescriptionInterface','actApplyOnReq',ftlapi.lstVal('requisitionDescriptionInterface', 'requisitionDescriptionInterface.descRequisition', 'requisitionDescriptionInterface.ID1235', this),'application');return ftlUtilfollowLink(this);"/> Data and Technology Analyst III - Division of International Finance - R025747 Primary Location : DC-Washington : Employee Status : Regular Overtime Status : Exempt Job Type : Standard Work Shift: : 1st Shift : : Relocation Provided: : Yes Compensation Grade Low: : FR PAY GRADE 25 Compensation Grade High: : FR PAY GRADE 26 Minimum Salary: : $111,400.00 Maximum Salary: : $204,100.00 Posting Date : Jul 17, 2026 Position Description Minimum EducationBachelor's degree or equivalent experienceMinimum Experience4SummaryContributes to a variety of technology functions that require intermediate knowledge of multiple IT disciplines. Analyzes, designs, develops, and implements technology solutions and/or strategies to meet the needs of an organization/group. Offers solutions to more senior staff to bridge gaps between business and technology, leveraging broad technological knowledge and skills. Conducts audits of systems to ensure the system continues to function properly and optimally, identify areas for improvement, and verify compliance of the system. Performs routine and non-routine maintenance on systems to ensure optimal functioning and avoid system failure. Identifies and conducts research to advise systems design, data definition, data access, or configuration changes.Duties and ResponsibilitiesConsults with users, diagnosing and resolving problems found in application implementations, suggesting appropriate software solutions and computing platform(s) to meet the generally defined requirements of users, and assisting in other ways on technical and programming issues related to information processing. Explains IT processes and concepts to technical and non-technical audiences and describing technical information at a high-level to communicate how technology processes and concepts directly impact and influence stakeholders.Implements software systems and applications using security best practices and change control to meet business requirements. Conducts audits of systems to ensure the system continues to function properly and optimally, identify areas for improvement, and verify compliance of the system.Operates system controls to coordinate computer network access and use. Stays up to date on IT security trends and disaster recovery processes to apply this knowledge to recommend security enhancements. Monitors the computing environment for security breaches.Installs and maintains distributed processing systems. Develops system access profiles and IT frameworks based on user requirements.Thinks through the various aspects that go into designing a system including, but not limited to, business needs, cost considerations, and functionality. Performs routine and non-routine maintenance on systems to ensure optimal functioning and avoid system failure.Handles the administration of shared databases and/or maintenance of the security and integrity of data systems; identifies and conducts research to advise systems design, data definition, data access, or configuration changes.Collects and analyzes data to identify trends in data, produce data visualizations, and examine data to help provide @context for pertinent issues. Complies data findings into visually appealing, easy to follow reports to summarize outcomes.Supports division customers with a variety of technology needs that may include: developing new tools for users, maintaining existing web applications in the division, creating web pages, and/or debugging new application breaks. Participates in researching technologies that might enhance user experience.Offers ideas in the strategy/planning, product development, product launch, and all stages of product life cycle. With moderate guidance, plans, organizes, and assigns tasks for the development and implementation of large-scale and highly complex information or information security systems. Provides guidance and consultation to project participants and may have some supervisory responsibility for professional staff.Maintains knowledge of evolving trends in technology to develop innovative approaches that deliver value; understands business requirements and processes in order to assist in identifying technologies that meet the requirements.Develops and/or implements short- and long-term strategies to meet the automation, computing, database, and information management requirements of the division and the Board. Collaborates with team members and shares information/knowledge to ensure the best strategies are implemented. Designs, implements, supports, and maintains automation, computing, and database systems essential to meeting those strategies. Position Requirements Position DescriptionHlk211600067">The Data and Technology Analyst contributes to the division's data science and engineering hub, which helps advance the division's evolving research, policy, and operational data-related priorities in areas such as cloud computing, big data, data science, data collection, data analysis, data management, artificial intelligence (AI), neural networks, deep learning, and natural language processing (NLP). The Data and Technology Analyst analyzes, designs, develops, and implements technology solutions and/or strategies in collaboration with economic sections and senior technology staff and performs routine and non-routine maintenance on systems to ensure optimal functioning and avoid system failure. In addition, the Data and Technology Analyst identifies and conducts research to advise systems design, data definition, data access, or configuration changes.About the TeamThe Integrated Technology Solutions (ITS) section serves as the in-house technology and analytical experts supporting the Division of International Finance's research, policy, and operational priorities. Section members contribute to diverse projects by applying advanced analytical techniques and modern technology solutions, including artificial intelligence, machine learning, natural language processing, and cloud computing, to solve complex problems and inform decision-making. ITS manages the ingestion and analysis of large volumes of data from various sources - including non-traditional micro-data, textual data, and geospatial data - for consumption across the Division and Board, requiring sophisticated innovation and management approaches to transform raw information into actionable insights. Analytical outputs appear in policy products, research papers, and internal and external presentations. Building on current capabilities, the section is expanding its portfolio to incorporate emerging AI and machine learning techniques into its work. ITS also plays an active role in enhancing the Division's technology best practices, contributing to enterprise-wide technology initiatives, and developing in-house software tools including data pipelines, visualizations, dashboards, data applications, and web platforms that streamline workflows and improve organizational effectiveness.Section's Essential Duties Collect, refine, and transform large volumes of data from multiple high-volume internal and external sources. Perform data quality tests, data discovery initiatives, and data integrity investigations to ensure accuracy and reliability across analytical outputs and AI/ML systems. Work with large and complex datasets to solve difficult and non-routine problems using advanced statistical methods, AI, and machine learning techniques. Perform data analysis in support of ad-hoc and standing requests while participating in analytical research projects through all stages from concept formulation to final report preparation. Design, develop, and implement the division's advanced data engineering hub using agile methodologies to manage, ingest, and serve data at scale, including designing PostgreSQL databases, building and optimizing Python-based and R-based data pipelines for efficiency and scalability, and implementing proper version control and security best practices. Provide advanced technical consultation to diagnose and resolve complex programming problems in HPC, Hadoop, Linux, Windows, or other environments using Python, R, FAME, MATLAB, Bash, or other programming languages, with particular focus on AI/ML workflows and infrastructure.Design, implement, and support applications and web-based tools for division customers, including maintaining existing applications, creating web pages, debugging issues, performing system maintenance, and installing, configuring, and maintaining distributed processing and data systems. Administer shared databases and maintain the security and integrity of data systems, conduct audits to ensure optimal functioning and compliance, identify areas for improvement, monitor for security breaches, and develop system access profiles and IT frameworks to coordinate network access.Apply deep hands-on experience with multiple AI frameworks, vector database technologies, and LLMs to develop, deploy, and optimize AI-driven analytical solutions, including implementing RAG systems and multi-agent AI architectures while optimizing interactions through prompt engineering, @context optimization, and LLM performance tuning.Collect, analyze, and visualize data to identify trends and support large-scale projects with complex datasets, compiling findings into visually appealing reports, executive summaries, and presentations for diverse audiences that enhance insight into complex issues and communicate AI-driven outcomes and methodologiesCommunicate technical concepts effectively to both technical and non-technical stakeholders. Stay current on rapidly evolving technology trends by reviewing academic journals, market sources, and industry reports covering AI technology trends, LLMs, agentic AI, machine learning methodologies, prompt engineering, IT security, disaster recovery, and data analysis techniques.Collaborate with team members to develop and implement short- and long-term strategies for automation, computing, and database and information management requirements. Manage multiple projects in a timely fashion while performing under time pressure and meeting strict deadlines. Function as a resource to division and Board staff, offering professional advice, judgment, and recommendations on quantitative practices, analytical methodologies, and AI/ML technologies, orienting and providing training on emerging technologies and analytical best practices, and maintaining confidentiality while demonstrating sound judgment in all interactions and work products. Position Requirements Candidates must have strong organizational and oral/written communication skills as well as a demonstrated interest in and aptitude for the application of theoretical and quantitative techniques in data engineering, data science, and/or computer programming. Required skills for the position include but are not limited to:Proficiency in programming and analytical languages (Python, R, or SQL-PostgreSQL, MySQL, or SQLite) with demonstrated ability to apply these tools for complex data manipulation, analysis, and AI/ML problem-solving. Experience with Python-based parallel/distributed computing frameworks (Ray, Dask, or PySpark) for large-scale data ingestion and analysis is preferred.Proficiency in Git and collaborative development/project management tools (GitLab, Jira). Familiarity with statistical languages such as MATLAB, Stata, or FAME with ability to quickly learn new tools. Experience with CI/CD pipeline development and DevOps practices is preferred.Knowledge about cloud-based enterprise data platforms.Knowledge about Linux systems, HPC clusters, and Hadoop environments with the ability to install, configure, and maintain distributed processing and data systems.Experience with prompt engineering and how to apply it for classification, summarization, and coding assistance, including few-shot learning, chain-of-thought prompting, and advanced @context management to optimize LLM outputs in analytical and research @contexts. Experience with AI, machine learning and large language models (e.g. GPT, Claude, Llama, Phi) in economic, financial, or analytical @contexts, including model fine-tuning, performance optimization, and innovation to solve complex business problems. Excellent analytical and problem-solving skills with demonstrated ability to conduct independent research and analysis using inductive thinking, AI-driven reasoning, and independent judgment, with experience in data maintenance, data quality control, and meticulous attention to detail and data accuracyAbility to work cross-functionally to solve complex problems using various applications and improve quality and service, interacting with counterparts outside the division to gather information, pose questions, provide interpretation about various technical solutions, and achieve objectives.Ability to create critical and time-sensitive reports and/or presentations that communicate data and technology outcomes, methodologies, and insights to technical and non-technical audiences, with the ability to use known resources to seek answers and demonstrate excellent judgment in determining appropriate analytical methodologies and AI frameworks. Strong interpersonal, communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment and explaining technical concepts to diverse audiences. In addition, experience with open-source visualization and dashboard tools in R or Python, such as ggplot2, shiny, dash, or Plotly, NLP large language models such as Llama and Phi, AWS-specific tools including Lambda, Glue, and API gateways, and familiarity with business intelligence tools including PowerBI, Tableau and SharePoint are a plus. FR-25A bachelor's degree in computer science or related fields and a minimum of 4 years of related experience. Must have intermediate knowledge in one or more of the following areas: user technical support, software development, end-point system installation/maintenance, cloud technology, and project management. Must be able to work effectively with more senior staff and assist them with user technical support, software development, project management, technology evaluation, data analysis, database administration, technical problem solving, database system development, working group participation, and web app development and management. FR-26A bachelor's degree in computer science or related fields and a minimum of 5 years of related experience. Must have advanced knowledge in one or more of the following areas: user technical support, software development, end-point system installation/maintenance, cloud technology, and project management. Must be able to work effectively with other staff and be able to support user technical support, software development, project management, technology evaluation, data analysis, database administration, technical problem solving, database system development, working group participation, and web app development and management.Note:This position is located in Washington, DC, and requires in-office presence.The expected salary range for this role is $111,400 - $166,400, which spans all the posted grades. Final offers are based on the grade for which you minimally qualify and are determined by experience and education, as well as internal and external factors. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services. Req ID: R025747
