Logistics Data Analyst

Ataero•Huntsville, AL

13d•$120,000 - $125,000•Onsite

About The Position

The Senior Data Analyst leads data analytics and modeling activities supporting Centralized Distribution Activities operations. The analyst oversees descriptive and predictive analytical products, establishes sound analytical methods and quality controls, and mentors junior analysts supporting Army logistics and supply-chain decisions.

Requirements

Bachelor’s degree in Data Science, Operations Research, Statistics, Analytics, or a closely related field.
At least seven years of professional analytics experience.
At least three years of supply-chain experience.
At least 5 years using Vantage and Palantir tools.
Demonstrated experience leading advanced analytics, predictive modeling, or data-science projects.
Demonstrated experience mentoring or directing junior data analysts.
Must possess a Secret government clearance and be able to obtain a Top Secret clearance.
Expertise in data mining, statistical modeling, machine learning, and predictive analytics.
Proficiency with Tableau and/or Power BI, Vantage and Palantir.
Strong data-visualization, analytical-writing, presentation, and communication skills.
Ability to validate analytical methods, evaluate model performance, and explain analytical results to technical and nontechnical audiences.
Ability to manage analytical quality and translate complex findings into practical operational recommendations.
Strong proficiency with data-analysis tools, databases, spreadsheets, and approved analytical software.
Knowledge of supply-chain performance measures, operational analytics, and data-quality management.

Responsibilities

Lead descriptive, diagnostic, and predictive analysis of Army logistics and supply-chain data.
Apply data-mining, statistical-modeling, and appropriate machine-learning methods to identify trends, forecast outcomes, and improve operational decision support.
Develop, validate, document, and maintain repeatable analytical models, measures, dashboards, reports, and data-visualization products.
Use Tableau, Power BI, or comparable Government-approved tools to communicate operational performance, risk, trends, and improvement opportunities.
Direct and mentor junior Program/Data Analysts and review their data preparation, analytical methods, assumptions, model performance, and deliverable quality.
Partner with logistics analysts, system developers, operational leaders, and Government stakeholders to define analytical requirements and integrate relevant data sources.
Establish and maintain data-quality checks to ensure analytical products are accurate, traceable, reproducible, and suitable for Government use.
Evaluate the completeness, consistency, validity, and reliability of data used in analytical products.
Present analytical findings and recommendations to technical and nontechnical audiences.
Support recurring performance reviews, trend analyses, briefings, special studies, and corrective-action efforts.
Translate complex analytical findings into clear operational recommendations and decision-support products.
Maintain appropriate documentation of analytical methods, source data, assumptions, limitations, and results.