Senior Data Analyst

ACT1 Federal•Arlington, VA

2d•$170,000 - $200,000•Onsite

About The Position

ACT1 Federal is seeking an experienced Senior Data Analyst to provide data integration, performance assessment, dashboards, visualization, and analytical support in support of industrial base and fifth shipyard decisions.

Requirements

Bachelor's degree from an accredited institution in data science, statistics, mathematics, economics, operations research, engineering, computer science, business analytics, or a related quantitative discipline.
10+ years’ experience in data analysis, business intelligence, operations research, industrial analysis, program analysis, or a closely related field.
Demonstrated experience integrating, cleaning, validating, reconciling, and analyzing complex data from multiple sources and documenting data quality and limitations.
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.
Experience developing dashboards, performance measures, executive visualizations, and analytical products that support senior-level decisions.
Ability to communicate technical methods and findings clearly to technical and nontechnical audiences and work across organizational boundaries.
Active Top Secret clearance required.

Responsibilities

Identify, acquire, inventory, and integrate data from authorized Navy, Department of War, federal, industry, and commercial sources.
Develop data dictionaries, common definitions, metadata, lineage, validation rules, and repeatable processes for reconciling inconsistent datasets.
Create and maintain integrated production, supplier, infrastructure, workforce, economic, investment, and program-execution baselines.
Evaluate data completeness, accuracy, timeliness, comparability, and fitness for purpose; document assumptions, gaps, limitations, and confidence levels.
Support appropriate data access, handling, version control, auditability, and protection of classified, controlled, proprietary, and procurement-sensitive information.
Analyze production capacity, throughput, schedules, supplier performance, dependencies, investment needs, execution trends, and indicators of industrial-base risk.
Apply descriptive, diagnostic, predictive, statistical, geospatial, network, scenario, and sensitivity methods when appropriate to the question and available data.
Develop measures, thresholds, and early-warning indicators that reveal emerging constraints, supplier stress, execution risk, or ineffective interventions.
Conduct trend, variance, root-cause, comparative, and alternatives analyses and distinguish correlation, judgment, and supported causal conclusions.
Translate findings into clear recommendations, decision points, and follow-on data requirements for directors and senior DASN DIB leaders.
Build executive dashboards, scorecards, charts, maps, supplier views, briefing graphics, and recurring analytical reports tailored to technical and nontechnical users.
Work with directors, program offices, systems commands, acquisition personnel, economists, engineers, and subject matter experts to define analytical questions and measures of success.
Present methods, assumptions, findings, limitations, and implications to senior leaders and respond rapidly to emerging data calls and decision-support needs.
Maintain analytical documentation and reproducible work products so results can be reviewed, updated, and traced to authoritative sources.