Job Summary

The USPS OIG is seeking a highly qualified applicant to fill our Data Analyst position in the Research and Insights Solution Center located in Arlington, Virginia. Bring your skills and voice to our team!

Job Description

MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor's degree from an accredited college or university. AND Applicants must have at least one (1) year of experience extracting, analyzing, and visualizing data to support operational, programmatic, or business decision-making. DESIRABLE QUALIFICATIONS Knowledge and experience with Postal Service processes and related data systems for mail processing, delivery, logistics, or other business functions. Knowledge and experience in the law enforcement, audit, and/or mailing industry. Knowledge of advanced analysis techniques such as natural language processing, predictive analytics, and machine learning model, development, training, evaluation, testing, refinement, deployment, and maintenance. Experience utilizing cloud platforms (e.g., AWS, Azure, GCP) and cloud-based notebook environments (e.g., Databricks, Jupyter, Colab) EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Knowledge of data analytics theories, principles, concepts, methods, and techniques sufficient to conduct analyses. Experience leveraging business intelligence tools (e.g., Power BI, Tableau) to design, develop, and optimize interactive dashboards, automated reports, and data models. Technical fluency in SQL and relational database architecture to extract, validate, and analyze complex datasets to derive actionable business insights, ensure data quality, and support data-driven decision-making. Proficiency using Python to clean, manipulate, visualize, and analyze structured and unstructured datasets. Ability to communicate and visualize analytical methods and results to peers, customers, and non-technical stakeholders. You will no longer be considered for this position if you: fail to respond to all of the questions in the self-assessment questionnaire; or receive a zero (0) rating on any evaluation factor. Failure to demonstrate that you meet all evaluation factor requirements will result in a score of zero (0). Upon receipt of a zero score, you will be deemed "not minimally qualified," and you will not be referred for further consideration.