Lead Data Analyst

📋 Description

• Oversee advanced data analytics, statistical modeling, and predictive analysis projects to enhance readiness-based sparing models that aid in decision-making and strategic planning.

• Collaborate with senior stakeholders to establish analytical goals, articulate problem statements, and convert business challenges into actionable, data-oriented strategies.

• Implement, uphold, and enhance process improvements related to documented enterprise data definitions, business rules, governance frameworks, and standards for data quality.

• Provide technical guidance and mentorship to junior analysts, fostering skill development and promoting analytical best practices.

• Act as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.

• Offer technical insights regarding data requirements and structure to develop and model simulations that pinpoint the most effective options on the readiness cost curve.

• Engage in planning sessions to gather detailed information and develop data pipeline architecture that aligns with project specifications.

• Extract relevant data from designated tools, review existing supportability reports and engineering details to evaluate data quality before constructing a readiness-at-cost model.

• Record data gathering procedures, pipeline configurations, and data flows to ensure consistency and facilitate future support.

• Identify, define, and spearhead continuous improvement initiatives for analytics processes, data workflows, and system performance.

• Guarantee the accuracy and completeness of all documentation.

• Promote effective collaboration with cross-functional teams to meet project goals.

• Convey complex technical information in a clear and effective manner.

• Utilize designated software while adhering to business rules and processes.

• Pinpoint areas for enhancing efficiency and accuracy, and integrate those enhancements into modeling best practices.

⛳️ Requirements

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related technical discipline.

• A minimum of 10+ years of experience in systems engineering, logistics analysis, or modeling and simulation.

• Advanced expertise in data engineering practices and readiness modeling methodologies within the DoD or a comparable complex enterprise environment.

• Proficient in applying reliability, maintainability, and availability (RMA) principles along with lifecycle sustainment analysis.

• Experience in leading multidisciplinary teams and coordinating among multiple stakeholders to deliver integrated technical solutions.

• Proficient with Opus Suite (OPUS10, SIMLOX, CONNECT) or similar readiness-based sparing platforms.

🏝️ Benefits

• Paid Time Off

• Paid Company Holidays

• Medical, Dental & Vision Insurance

• Optional HSA and FSA

• Base and Voluntary Life Insurance

• Short Term & Long-Term Disability Insurance

• 401k Matching

• Employee Assistance Program