Data and Performance Analyst

ACT1 Federal•Arlington, VA

3d•$135,000 - $151,392•Hybrid

About The Position

ACT1 Federal is seeking an experienced Data and Performance Analyst to provide the integration of production and supplier data, and deliver traceable dashboards and exception analysis. ACT1 Federal LLC is a 100% employee-owned company. We’ve served the Department of War (DoW) for nearly thirty years. Our core missions include weapon systems engineering, logistics, space domain expertise, global defense and security, business and financial management for security assistance and major defense articles, as well as military training and arctic security.

Requirements

Bachelor's degree from an accredited institution in data science, statistics, mathematics, operations research, industrial or systems engineering, supply chain, business analytics, or a related quantitative discipline.
8+ years’ experience in data analysis, manufacturing or production analysis, supply-chain analytics, performance management, operations research, or a closely related field.
Demonstrated experience collecting and validating manufacturing or supplier data, establishing production baselines, analyzing constraints, and identifying root causes of schedule, quality, or throughput shortfalls.
Experience developing production dashboards, forecasts, scorecards, executive visualizations, and decision-support products.
Advanced proficiency with Microsoft Excel and at least one analytical or visualization environment such as Python, R, SQL, Power BI, Tableau, or an equivalent tool.
Knowledge of production measures such as capacity, throughput, cycle time, work in process, yield, utilization, downtime, quality, and supplier delivery performance.
Ability to communicate technical methods, findings, uncertainty, and improvement recommendations clearly to technical and nontechnical audiences.
Active Top Secret Clearance required.

Responsibilities

Work with the BOND team, assigned PAE, program offices, prime contractors, and suppliers to define data requirements for the weapon or weapon system under review.
Collect and validate production schedules, output, cycle and takt time, work in process, yield, scrap and rework, downtime, labor, tooling, material, quality, test, and supplier-delivery data.
Map data across the prime contractor and critical lower-tier suppliers; reconcile definitions, reporting periods, part identifiers, and conflicting source information.
Identify material data gaps, establish repeatable collection processes, and document source, lineage, assumptions, limitations, and confidence levels.
Maintain secure, traceable, and reproducible data sets and analytical products in accordance with Government requirements.
Establish current-state production, capacity, throughput, schedule, quality, and supplier-performance baselines for the assigned program or system.
Compare planned and actual performance; analyze trends, variance, queue time, flow, yield, utilization, and leading indicators of delivery risk.
Identify bottlenecks and root causes associated with material, workforce, equipment, tooling, facilities, test, quality, engineering, or lower-tier suppliers.
Assess the feasibility and likely production impact of recovery plans, capacity expansions, process changes, investments, and supplier interventions.
Develop forecasts, scenarios, and early-warning indicators that clarify risks to production rates, milestones, and weapon-system deliveries.
Build production dashboards, scorecards, constraint views, and recurring reports tailored to the BOND team, PAE, program managers, and senior DASN DIB leaders.
Recommend prioritized actions to improve production flow, throughput, quality, schedule performance, supplier reliability, and constraint visibility.
Track approved corrective actions, owners, milestones, measures, and results; identify when interventions are not producing the intended effect.
Support site visits, working sessions, and data calls and present methods, findings, limitations, and recommendations to technical and executive audiences.