VLinc Corporation ยท 4 months ago
Power BI Developer & Data Analyst
VLinc Corporation is seeking a Power BI Developer & Data Analyst to support federal logistics programs through advanced data modeling, visualization, and predictive analytics. The role involves leveraging Power BI, SQL, and Python to transform logistics data into actionable insights, ultimately improving life cycle management and procurement forecasting.
AerospaceGovernmentIndustrial EngineeringMilitary
Responsibilities
Design, build, and maintain advanced Power BI dashboards and reports that communicate key logistics performance indicators (KPIs), maintenance trends, and supply chain metrics
Develop custom DAX measures, calculated columns, and complex data models from multiple sources (SQL, Excel, APIs)
Ensure user-friendly, interactive visuals for both technical and non-technical audiences
Analyze logistics data related to asset lifecycle, maintenance events, failure rates, parts availability, and procurement cycles
Use Python, SQL, and R to build data pipelines, clean datasets, and perform predictive modeling and statistical analysis
Apply AI and machine learning techniques to support forecasting of inventory requirements, failure probability, and vendor performance
Support Life Cycle Sustainment Plan (LCSP) development through historical and real-time data analysis
Evaluate asset configuration data and serialized equipment health to inform sustainment decisions
Conduct root cause and trend analysis to improve preventive maintenance planning and reduce system downtime
Deliver comprehensive analysis reports and technical documentation in support of government requirements
Ensure alignment with standards such as GEIA-STD-0007, DI-SESS-81874, and program-specific CDRLs
Maintain robust version control and traceability across datasets and analytics tools
Partner with logistics managers, program analysts, engineers, and procurement personnel to align analytics with operational and contractual needs
Support proposal teams with data-backed strategies, cost models, and readiness projections
Engage with stakeholders to refine dashboard features, reporting cadence, and data architecture
Qualification
Required
Bachelor's degree in Data Analytics, Logistics, Computer Science, Engineering, or a related field; Master's preferred
Minimum of 3 years of experience in a data analytics or business intelligence role, ideally supporting logistics or maintenance systems
Advanced Power BI development skills, including custom visuals, DAX, row-level security, and dynamic filtering
Proficient in SQL, Python, and data visualization or ETL tools
Experience integrating data from logistics systems (e.g., Maximo, DPAS, SAP, ERP platforms)
Understanding of maintenance operations, inventory management, or federal lifecycle sustainment frameworks
Must be able to obtain a Secret Clearance
Strong written and verbal communication skills
Preferred
Familiarity with DoD or DHS logistics operations and sustainment planning
Experience with AI/ML libraries (e.g., scikit-learn, TensorFlow) and predictive modeling
Knowledge of NSN assignment, BOM analysis, and provisioning logistics
Understanding of cybersecurity principles in dashboard deployment (e.g., CMMC compliance)