Junior Data Visualization Developer

Junior Data Visualization Developer

Job Location s: US-Remote | US-OH-Dayton

LMI is seeking a skilled Data Visualization Analyst. Successful Data Visualization Analysts demonstrate competency in project execution, leadership critical thinking, relationship management, and solving complex challenges while upholding the highest standard of ethical behavior.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors — helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Providing direct support to the Department of Veterans Affairs Offices of Mental Health and Suicide Prevention, this Data Visualization Analyst will:

• develop intuitive dashboards and data visualization products using Microsoft Power BI or other data visualization tools for data and metrics reporting using administrative medical records data, other VA administrative data, and curated data sets within the VA Suicide Prevention Program Office;
• develop a user-friendly and visually appealing reporting interface in Microsoft Power BI;
• work with other Power BI Developers to build and design a high-profile reporting dashboard for our VA clients;
• deploy and maintain dashboards and linkages to other dashboards and databases;
• provide ongoing support and management of the dashboard once completed;
• design efficient databases and workbooks needed to support program-specific dashboards;
• support business decisions with ad hoc analysis;
• think strategically about how to publish data visualizations and present analytic results for VHA executive leadership and other stakeholders;
• develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks;
• use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations;
• serve as a technical/domain expert providing direction, interpretation, and alternatives to advise, consult, and recommend solutions;
• collect, study, and analyze data to inform and determine suggested courses of action;
• perform studies such as analysis of alternatives and return on investment;
• prepare documentation including reports, papers, and presentations to communicate key Government owned data to internal and external audiences;
• maintains knowledge and apply advanced technical principles, theories, and concepts and;
• create data flow maps, process guides, and other support documents that describe collection, archiving, management, and retrieval processes for program evaluation data.

MINIMUM:

• Bachelor's Degree in science, technology, engineering, mathematics, computer science, economics, business, healthcare administration or a related discipline.
• 3+ years of experience developing dashboards using Microsoft Power BI or other data visualization tools.
• 3+ years of experience using SQL and other relational databases.
• Knowledge of best practices in data visualization and business intelligence software, including recent versions of Microsoft Power BI.
• Experience with modeling and cleansing data for use within Microsoft Power BI reporting and dashboards.
• Experience developing content for and delivering training to others on the use of Microsoft Power BI or a similar business intelligence software.
• Ability to design and influence data architectures to reflect how users will access and analyze data.
• Excellent communication skills and proven ability to work with business…