SUPERVISORY PROGRAM ANALYST

Summary

You will serve as a SUPERVISORY PROGRAM ANALYST in the Business & Intelligence & Data Analytics Support Branch (C1244) of PEARL HARBOR NSY AND IMF.

Responsibilities

You will provide daily supervision of business intelligence and data analytics operations to produce data sets required to inform and develop insights and strategies for operational and business initiatives

You will provide business intelligence strategies and techniques to analyze and interpret data, and further transform it into meaningful information that can help the Shipyard and its leadership make informed data-driven business decisions.

You will supervise Business Intelligence and Data Analytics Support Branch employees by planning, assigning, and reviewing work; evaluating performance; resolving issues; and developing personnel to meet mission requirements.

You will lead business intelligence and data analytics operations to collect, integrate, validate, and process data from multiple sources in support of operational, business, and strategic decision-making.

You will apply statistical analysis, predictive analytics, data modeling, machine learning, and simulation methods to identify trends, forecast outcomes, and assess risks and opportunities.

You will develop dashboards, visualizations, reports, and performance metrics that communicate key trends, operational conditions, and actionable insights to leadership and stakeholders.

You will analyze workload, resources, capacity, schedules, funding, overtime, and material data to support waterfront execution, budgetary control, long-range planning, and organizational performance assessments.

Qualifications

Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector leading or performing business intelligence and data analytics functions in an industrial shipyard environment such as: developing data standards and automated data-processing tools; applying statistical, predictive, and data-modeling techniques to analyze organizational performance data; developing dashboards, visualizations, and reports; and/or providing data-driven recommendations to support operational execution, resource management, and strategic decision-making. Additional qualification information can be found from the following Office of Personnel Management web site: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.