Model Predictive Control Jobs in New Albany, IN (NOW HIRING)

CALIBRE Systems, Inc., an employee-owned mission focused solutions and digital transformation company, is looking for a highly qualified Data & Statistics Lead, to support work on the ARMY TAP Program.  

This position serves as the senior technical lead for data analysis, statistics, reporting, and decision support for Army Transition Assistance Program (TAP) operations. Acts as the program’s subject matter expert for data collection, data quality, statistical analysis, dashboarding, forecasting, and production-ready reporting in support of a geographically dispersed, high-volume Soldier transition services program.

Responsibilities include:

• Serve as the technical expert for the program’s portfolio of data, analytics, and statistical reporting activities.
• Lead the design, development, validation, and sustainment of recurring and ad hoc reports, dashboards, scorecards, and briefings supporting Army TAP operations.
• Approve production-ready data products, statistical analyses, visualizations, and executive-level briefings before delivery to Government and program leadership.
• Develop and apply descriptive, diagnostic, predictive, and prescriptive analytics to support Army TAP requirements, including trend identification and actionable recommendations.
• Analyze program performance related to classroom delivery, case management, customer throughput, counseling activity, documentation timeliness, Virtual Center operations, quality control findings, and staffing utilization.
• Identify and assess data risks, including data quality issues, incomplete records, inconsistent definitions, sparsity, timing gaps, system constraints, or reporting limitations; develop and implement mitigation strategies.
• Establish data definitions, business rules, calculation methods, metadata, and documentation to ensure consistency, repeatability, and auditability of reporting outputs.
• Lead data validation and quality assurance processes for operational and performance metrics, including exception checks, trend checks, reconciliation, and outlier review.
• Translate complex findings into clear, decision-ready products for Government leadership, Program Management, Regional Leads, Virtual Center leadership, and quality oversight personnel.
• Advise project managers and operational leaders on emerging trends, workload changes, service risks, and opportunities to improve performance through better use of data.
• Support planning and forecasting for staffing, class demand, counseling demand, Virtual Center workload, and operational surge requirements.
• Develop and maintain statistical models and analytic methods to identify at-risk conditions, workload trends, service bottlenecks, and opportunities for process improvement.
• Conduct exploratory data analysis and statistical review to support continuous improvement, quality control, and mission readiness.
• Support preparation of sanitized analysis samples, technical exhibits, and proposal-related analytic materials as required.
• Work with IT, reporting, and program operations teams to support secure data access, reporting automation, dashboard deployment, and continuity of operations.
• Continually stay current on advances in analytics, data visualization, statistical methods, and tools relevant to Federal program delivery.
• Lead internal efforts to foster a data-driven culture and mentor, supervise, and cross-train junior analysts and other staff.

• Advanced experience in statistics, data analysis, and applied analytics
• Advanced ability to develop and present findings based on discovered results to customers and senior management
• Advanced experience with Python and/or R for analysis, automation, and reporting
• Progressive experience with data visualization tools or packages such as Tableau, Qlik Sense, Power BI, Plotly, Seaborn, Bokeh, Shiny, or ggplot
• Proficient experience prototyping analytical solutions and maturing them into production-ready deliverables
• Advanced understanding of data governance, data quality, validation, and documentation practices
• Experience building dashboards, scorecards, and executive briefings that support operational decision-making
• Ability to translate data-driven insights into decisions and actions
• Strong understanding of forecasting, trend analysis, outlier detection, predictive modeling, and performance measurement
• Ability to identify risks related to data constraints, software or hardware limitations, reporting gaps, and operational dependencies
• Strong written and verbal communication skills, including technical writing and briefing support
• Experience supervising, mentoring, and cross-training junior colleagues

Preferred Skills

• Knowledge of MS Office Suite, including Excel and PowerPoint
• Experience with SQL and relational database concepts, including joins, views, and data modeling
• Experience with NoSQL, graph, or semi-structured data environments
• Familiarity with ETL, data pipelines, automation, and data preparation workflows
• Experience with Army, DoD, Veteran, workforce, training, or human services data environments
• Experience supporting case management, service delivery, contact center, or training program metrics
• Experience developing metrics for attendance, completion, timeliness, throughput, utilization, compliance, and quality
• Familiarity with survey analysis, customer feedback analysis, and quality evaluation data
• Experience developing data dictionaries, SOPs, methodology guides, and user documentation
• Ability to work in local and cloud-based environments and support version control and Agile delivery methods
• Knowledge of PII handling, least privilege, and secure reporting practices
• Experience supporting virtual operations or 24/5 service environments preferred
• Developing and writing proposal experience preferred

• Master’s degree in Statistics, Data Science, Operations Research, Applied Mathematics, Economics, Computer Science, Information Systems, or related quantitative field; equivalent education and relevant experience may be substituted
• Advanced degree or 15+ years of equivalent work experience preferred
• 10+ years of professional experience in data analytics, statistics, forecasting, business intelligence, or quantitative decision support
• 3+ years of experience leading analytics teams, approving analytical products, or serving as senior technical lead
• Experience supporting Federal or DoD programs preferred
• Experience supporting large-scale, geographically dispersed operational programs preferred

Appropriate Certifications

• Relevant data analytics, statistics, BI, or cloud certifications preferred