Data Analyst

Description:

*PLEASE NOTE THAT THIS VACANCY ANNOUNCEMENT IS ONLY OPEN TO CURRENT UNITED STATES POSTAL SERVICE OFFICE OF INSPECTOR GENERAL, UNITED STATES POSTAL SERVICE, UNITED STATES POSTAL INSPECTION SERVICE AND POSTAL REGULATORY COMMISSION EMPLOYEES. OTHER APPLICANTS WILL NOT BE CONSIDERED.

Requirements:

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 3 years of Postal Service experience utilizing data systems for mail processing, delivery, logistics, or other postal functions.

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 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.