Data Analyst

This position supports LMI’s work with the emerging Navy Surface Maintenance Operations Center (S-MOC) in Norfolk, VA. Candidate will provide in-depth data analysis, data visualization (dashboard development) regarding fleet readiness, maintenance, etc. to our prime and client as part of a multiparty team in a dynamic environment. Dashboard expertise as well as strong communication skills are required, and candidate must be proactive and strategic, and able to both respond quickly and provide input to briefings, reports, etc. that arise in a fast-paced environment.

Must live in the Tidewater area and be willing to be on client site around 4 days/week and when needed

Responsibilities Dedicated to workstream tasking and reports directly to the workstream lead Works closely with workstream lead in day-to-day execution of project tasks Perform in an Agile development environment and shape upcoming sprints Develop and implement data analytics solutions including reports, visualizations, and predictive models Collect, inventory, and transform diverse data sets for analysis Assist in the creation of Key Performance Indicators (KPIs) Develop solutions tailored to client workflow and operations Data to focus on asset and material maintenance and management, as well as policy data Collect, and analyze diverse data for creation of performance metrics and producing outputs to client Data will focus on asset and material maintenance and management, as well as policy data

3-5+ years of specialized experience in data analytics with focus in business intelligence/visualization, (exploratory) data analysis and trending, modeling Active Secret Clearance Must live in the Tidewater area and be willing to be on client site 2-3 days/week and when needed Strong working knowledge of large, complex data environments Direct experience implementing military or industry business solutions and services Expert ability to communicate effectively in both oral and written forms with all levels of executives, staff, and clients Ability to work independently or with limited supervision Possess critical thinking, problem solving, and initiative/proactive skills Experience in statistical and mathematical modeling (i.e., regression analysis, simulation, impact analyses, geographic analyses, performance measurement/management) Knowledge of Agile development best practices Experience in understanding and applying data analytics solutions Proficiency in at least one programming language (Python preferred) Experience with developing impactful dashboards using at least one visualization tool (Qlik) Experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI) (Desirable) Knowledge of Navy operations and data systems (Desirable) #LI-SH1