DNI (Delaware Nation Industries) logo

DNI (Delaware Nation Industries)

Data Analyst III-536263

🇺🇸 Arlington, VA

🕑 Full-Time

💰 TBD

💻 Data Science

🗓️ August 27th, 2025

Power BI Python SQL

Edtech.com's Summary

Delaware Nation Industries is hiring a Data Analyst III to manage and analyze large data sets for optimizing product and process outcomes within the Department of State's Bureau of Overseas Buildings Operations. The role involves applying advanced analytical methods, developing algorithms, and collaborating with cross-functional teams to translate data insights into actionable business decisions.

Highlights
  • Manage and analyze large data sets to identify business opportunities and optimize processes.
  • Utilize statistical tools and programming languages such as Python, R, SQL, and SharePoint.
  • Develop computational algorithms and use advanced analytics including AI, machine learning, and natural language processing.
  • Create data visualizations and reports using MS Power BI, MS Excel, and other tools for non-technical audiences.
  • Collaborate with cross-functional teams including product owners, developers, and researchers.
  • Participate in requirements gathering and discovery processes with stakeholders and business owners.
  • Recommend and implement data access, quality, and security policies.
  • U.S. citizenship required.
  • Bachelor’s degree plus nine years of related experience required.
  • Strong communication skills and proficiency with Microsoft Office Suite and data analysis tools.

Data Analyst III-536263 Full Description

The Program Development, Coordination, and Support Directorate is responsible for the design, coordination, and management of OBO’s construction and renovation programs.

The Department of State (DOS), Bureau of Overseas Buildings Operations, Directorate of Project Development, Coordination and Support, Office of Cost Management (OBO/PDCS/COST), requires cost estimating services to complete the task requirements stated below.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The Data Analyst must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations; have a proven ability to drive business results with their data-based insights; and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

 Managing Data Analytics
  • Makes recommendations on analytical, statistical, and programming techniques necessary to collect, organize, analyze, and interpret commonplace data sets. The work allows for the use and analysis of data and analytics for decision-making in the Department.
  • Works and provides input on cross-functional teams, staffed by direct hires and contractors, that include product owners, designers, developers, researchers to develop data-driven solutions that address business and user challenges.
  • Uses statistical tools and will assist the team with advanced analytics such as artificial intelligence, machine learning and natural language processing for analyzing data sets. Codes with languages such as python or R and uses SQL and SharePoint and other data processing and analytics tools and software to analyze data sets and uses data visualization tools such as MS Power BI, MS Excel, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences.
  • Uses analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data and from those patterns develops findings, inferences, conclusions, and recommendations.
  • Translates the results of analysis into clear, actionable communications that equips team members and decisions makers to make informed, data-driven decisions.
  • Willing to learn MS Power Automate and MS PowerApps, tools for integrating Microsoft software together and custom-building solutions for data gathering,
 
Utilization and Support of Data
  • Participates in discovery processes with business owner teams and stakeholders to identify requirements, expected outcomes for new or existing initiatives, and the measurements of success.
  • Works alongside other senior data scientists, data analysts, program analysts, and others to recommend technical and analytical solutions that meet requirements for decision-making
  • Interacts with internal customers and colleagues to understand business processes, gather requirements, and recommends analysis methodologies.
  • Works with the team to identify data that are available and relevant, including internal and external data sources, leveraging existing data collection processes, and performing and participates as a team member on all phases of the systems development life cycle required in the design, development, and implementation of features enabling data access.
  • Provides strategic and technical guidance and hands-on support in the transfer and transformation of any required data. Identifies, adapts, and manages changes to products or programs in response to evolving user needs.
  • Recommends usage and access control policies and systems in collaboration with system security design staff and stakeholders in continuous improvement processes impacting data quality, performance enhancements, and overall user experience.
  • Works with senior data scientists who directs internal and external process or system reviews, studies and data validation efforts which provide a means for evaluating system performance and vulnerabilities.

Requirements
  •  Must be a U.S. citizen.
  • Ability to communicate orally and in writing on highly complex, controversial, and time- sensitive matters to diverse audiences within all levels of the organization.
  • Ability to deliver sensitive/difficult information tactfully.
  • Client-success oriented mindset.
  • Ability to think strategically, assess problems and solve them with a sense of urgency.
  • Ability to motivate a team to work together in the most efficient manner.
  • Ability to effectively analyze and extract insights from structured and unstructured data and apply solutions.
  • Proficiency in handling imperfections in data.
  • Level of comfort in participating as a change-agent role within the organization.
  • Passion and curiosity for understanding business processes and systems for the associated team.
  • Ability to develop a general working knowledge of the technical domain to effectively support technical risks that may arise.
  • Experience and capabilities in the use of Microsoft Office Suite (Word, PowerPoint, and advanced use of Excel) and Data Analysis and Manipulation tools such as Power BI, R, Python, etc.
  • Data Analyst III - A bachelor’s degree from an accredited institution and nine (9) years of related experience