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Job ID 2025-13299 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time 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. Responsibilities Providing direct support to the Department of Veteran's Affairs Offices of Metal 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. Qualifications MINIMUM: Bachelor's Degree in science, technology, engineering, mathematics, computer science, economics, business, healthcare administation 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 customers and technical teams. Ability to provide exceptional client service, research and resolve issues, and demonstrated commitment to continuous learning. Ability to work effectively in a team environment with all levels of client personnel in various industries. This position requires a favorable Goverment background check and ability to obtain access to VA systems and data. You must be a US citizen. DESIRED SKILLS: Master's degree in science, technology, engineering, mathematics, computer science, economics, business, healthcare administation or a related discipline. Knowledge of statistics and experience using statistical analysis software (SAS) to analyze data and create statistical models. Experience analyzing large amounts of quantitative and qualitative data with the purpose to determine program effectiveness. Experience analyzing death data and other public health/mental health data. Previous VA/VHA experience. Target salary range: $74,986 - $128,154 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.