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 in Operations Research, Mathematics, Statistics, Analytics, Geography, Computer Science, Data Science, Economics, or related analytics or engineering field. AND Must have 1 year of specialized experience with query languages (e.g., SQL), programming languages (e.g., Python), business intelligence tools (e.g., Power BI, ArcGIS Pro, etc.), and analytics platforms (e.g., Databricks). 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 and experience using cloud computing platforms. Knowledge of advanced analysis techniques such as natural language processing, predictive analytics, and machine learning model. development, training, evaluation, testing, refinement, deployment, and maintenance. 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 and artificial intelligence theories, principles, concepts, methods, and techniques sufficient to conduct analyses. Skills and experience using a variety of analytical and business intelligence tools and languages (E.g., Esri, SQL, Python, R, Power BI, Databricks) to ingest and manipulate data and conduct research, data analysis, mathematical modeling, statistical analysis, and data mining. Knowledge of database and cloud environments (E.g., Oracle, Teradata, SQL Server, Azure). 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.