Program Data Science Analyst
AEVEX
| Company | AEVEX |
| Category | Data & Analytics |
| Location | Tampa |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Feb 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Job Overview
The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.
Essential Functions
Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
Build tools and automation to streamline data ingestion, transformation, and analysis.
Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
Design, develop, test, and document data science microservices and analytical applications
Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
Develop and analyze key performance indicators (KPIs) to monitor project health and success.
Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
Maintain and update project management tools and systems
Generate detailed project reports, dashboards, and presentations for stakeholders.
Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
Ensure that all project documentation is stored and organized according to PMO standards
Perform additional duties as required to support the success of project initiatives.
Standard Essential Functions
Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.
Qualifications and Competencies
Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
Proficiency in Python; experience with C++, Java, or R is beneficial
Familiarity with AI/ML tools