Data Analyst

Responsibilities

• Collect, analyze, interpret, and validate large datasets from multiple structured and unstructured data sources.
• Collaborate with data engineers, developers, and business stakeholders to improve data accessibility and integrity.
• Develop recurring and ad hoc reports, dashboards, and visualizations to support operational and strategic objectives.
• Identify trends, anomalies, correlations, and performance indicators to support data-driven decision-making.
• Translate business requirements into analytical models, reporting solutions, and actionable insights.
• Design and maintain dashboards using tools such as: Power BI/easyBI/Excel
• Advanced Analytics
• Present analytical findings in a clear and concise manner tailored to executive, operational, and technical audiences.
• Support KPI development, metrics tracking, and performance monitoring initiatives.
• Sustainment operations through data collection, analysis, and performance monitoring.
• Track and report program performance metrics, operational KPIs, quality indicators, and sustainment trends.
• Develop executive-level dashboards and reporting products to support program leadership decision-making.
• Partner with the Program Quality Manager to support quality assurance reporting, audit readiness, compliance tracking, corrective actions, and continuous improvement initiatives.
• Analyze program execution data to identify risks, process inefficiencies, and opportunities for operational optimization.
• Support data calls, customer reporting requirements, and program management reviews.

Qualifications

• Bachelor’s degree with 5+ years of relevant experience in data analytics, business intelligence, or related analytical fields; OR
• Master’s degree in Business Administration, Data Analytics, Data Science, Statistics, Business Analytics, Computer Science, Mathematics, or related discipline with 2+ years of relevant experience.
• Strong experience with: Data visualization and dashboard development; Data analysis and reporting tools
• Experience using Power BI, easyBI, Excel, or similar analytics platforms.
• Ability to analyze large datasets and communicate findings effectively.
• Strong problem-solving, organizational, and critical-thinking skills.
• Proficiency with Microsoft Office Suite, particularly Excel and PowerPoint.