Data Analyst

Office of the Inspector General, USPS•Arlington, VA

About The Position

The Data Analyst works in the Research and Insights Solution Center (RISC) Chief Data Office in Arlington, Virginia. The team transforms large, disparate datasets into actionable intelligence and provides analytical services to auditors, agents, and other stakeholders. The analyst develops data-driven solutions for investigative and audit clients and works with subject matter experts and stakeholders on a broad range of topics. The role includes analyzing internal and third-party datasets to identify trends and risks; using AI and other advanced applications; conducting statistical and numerical modeling; developing and maintaining interactive business intelligence dashboards and visualizations; and recommending improvements to data collection, management, and governance. The analyst also collaborates with cross-functional partners, documents analytical workflows, prepares technical reports and presentations, performs complex ETL while maintaining data integrity, and develops automated reporting tools and scripts. This announcement is open only to current USPS OIG, USPS, USPS Inspection Service, and Postal Regulatory Commission employees. The position is advertised at the Journey Band level, equivalent to GS-9 through GS-11, with a salary range of $70,623 to $111,087 including locality pay. Promotion potential to GS-13 is at management’s discretion. Candidates must meet the stated qualifications and eligibility requirements, including U.S. citizenship and the ability to obtain and maintain a Moderate Background Investigation security clearance and government-issued credit card. A 12-month probationary period may be required.

Requirements

Bachelor's degree from an accredited college or university.
At least one year of experience extracting, analyzing, and visualizing data to support operational, programmatic, or business decision-making.
Knowledge of data analytics theories, principles, concepts, methods, and techniques sufficient to conduct analyses.
Experience with business intelligence tools such as Power BI or 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, derive business insights, ensure data quality, and support data-driven decisions.
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.
Must be a U.S. citizen.
Must be able to obtain and maintain a Moderate Background Investigation security clearance.
Must be able to obtain and maintain a government-issued credit card.
Must be able to pass a drug screening.
Must be able to meet all eligibility and qualification requirements and respond to all self-assessment questionnaire questions.

Nice To Haves

Knowledge and experience with Postal Service processes and related data systems for mail processing, delivery, logistics, or other business functions.
Knowledge and experience in law enforcement, audit, and/or the mailing industry.
Knowledge of advanced analysis techniques such as natural language processing and predictive analytics, and of machine-learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
Experience using cloud platforms such as AWS, Azure, or GCP and cloud-based notebook environments such as Databricks, Jupyter, or Colab.

Responsibilities

Analyze internal and third-party datasets to identify trends and mitigate risks in complex, uncertain business environments.
Use artificial intelligence and other advanced applications to support analytical activities.
Perform advanced statistical and numerical modeling to provide evidence-based insights for audits and investigations.
Design and maintain interactive business intelligence dashboards and visualizations that turn complex data into actionable insights.
Architect analytical solutions and recommend improvements to data collection, management, and governance frameworks.
Collaborate with cross-functional stakeholders and subject matter experts to define technical requirements and address organizational challenges.
Document analytical workflows and processes to support reproducibility and transparency.
Prepare and deliver technical reports and presentations communicating strategic recommendations to diverse and non-technical audiences.
Perform complex data extraction, transformation, and loading (ETL), ensuring the accuracy and integrity of large-scale datasets.
Develop and deploy automated reporting tools and scripts to improve efficiency and reduce manual data handling.
Design custom analytical methodologies and products for investigative and audit clients.
Translate complex analytical solutions and results into clear briefings for customers, executives, and non-technical audiences.
Analyze diverse datasets and advise stakeholders on needs, operational impacts, strategic objectives, and related issues.

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
Long-term care insurance
Flexible spending options
Retirement and Thrift Savings programs
Flexible work schedules
Telework
Employee assistance programs
Eleven paid holidays each year
Thirteen days of paid sick leave each year
Thirteen to twenty-six paid vacation days each year, depending on years of service