Data Analyst

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.

The RISC Chief Data Office sits at the intersection of innovation and integrity. We empower auditors, agents, and stakeholders by transforming massive, disparate datasets into actionable intelligence. From generating investigative products to uncovering critical operational insights, our team uses advanced analytical methods to address the organization's toughest challenges.

As a Data Analyst, you will work alongside subject matter experts and stakeholders to create data-driven solutions covering a wide variety of topics. You aren't just a number-cruncher; you're the key to unlocking critical insights to fulfil our mission to provide comprehensive analytical services.

01What You'll Do

Develop Solutions: Design custom analytical methodologies and products that maximize impact for our investigative and audit clients. Collaborate Across Teams: Thrive in a team environment, working closely with technical and data support professionals. Translate Complexity: Distill sophisticated analytical solutions and results in clear, compelling briefings for customers, executives, and non-technical audiences.

Advise and Inform: Analyze diverse and desperate data and apply comprehensive and expert knowledge to advise on needs, operational impacts, strategic objectives, and other related issues. Candidates will be evaluated on the skills that they possess that are directly related to the duties of the position and the experience, education and training that indicate the applicant's ability to acquire the particular knowledge and skills needed to perform the duties of the position.

Only those candidates who meet all qualification and eligibility requirements and who submit the required information by 11:59 PM EST on 11/19/2026 will be considered. The USPS OIG uses a Pay Banding system, which is equivalent to the Federal GS scale. Grade and salary determinations will be made based upon a candidate's education and professional experience. This position is being advertised at the Journey Band level, equivalent to a GS-9 to GS-11. The salary range for this position is $70,623.00 - $111,087.00.

The salary figures include locality pay. Promotion potential to a GS-13 at management's discretion. Please note that the duties and responsibilities associated with this position may vary based upon the agency's needs at the time of hire. The following description of major duties and responsibilities is only intended to give applicants a general overview of the expectations.

Advanced Trend Analysis: Analyze internal and third-party datasets to identify trends and mitigate risks within complex, high-uncertainty business environments. Artificial Intelligence: Utilize AI and other advanced applications to facilitate analytical activities. Quantitative Support: Execute advanced statistical and numerical modeling to provide evidence-based insights for audits and investigations.

BI Solution Development: Design and maintain interactive business intelligence (BI) dashboards and visualizations that translate complex data into actionable insights. Strategic Data Governance: Architect analytical solutions and provide recommendations to optimize data collection, management, and governance frameworks. Stakeholder Collaboration: Partner with cross-functional stakeholders and subject matter experts to define technical requirements and solve organizational challenges.

Methodology Documentation: Maintain rigorous documentation of analytical workflows and processes to ensure reproducibility and transparency. Communication and Reporting: Prepare and deliver high-level technical reports and presentations to communicate strategic recommendations to diverse and non-technical audiences. Data Integrity & ETL: Perform complex data extraction, transformation, and loading (ETL) tasks while ensuring the accuracy and integrity of large-scale datasets.

Process Automation: Develop and deploy automated reporting tools and scripts to increase efficiency and reduce manual data handling.