Supervisory Public Affairs Specialist
Veterans Health Administration
FreshPosted Apr 13
✓ Fresh Listing
Posted: April 15, 2026 (0 days ago)
This job was posted recently. Fresh listings typically have less competition.
Supervisory Data Analyst (Deputy Director)
Animal and Plant Health Inspection Service
Department of Agriculture
Location
Fort Collins, Colorado
Salary
$131,342 - $182,316
per year
Type
Full-Time
More IT & Technology jobs →Closes
April 21, 2026More USDA jobs →
GS-14 Pay Grade
Base salary range: $104,604 - $135,987
Typical requirements: 1 year specialized experience at GS-13. Senior expert or supervisor.
Note: Actual salary includes locality pay (15-40%+ depending on location).
Job Description
Summary
This job is for a senior leader who oversees a team analyzing data to track and improve key programs in animal and plant health, creating reports and metrics to help government agencies make better decisions.
It involves designing data systems, ensuring high-quality information, and collaborating across departments to solve business problems.
A good fit would be someone with strong experience in advanced data tools and leading analytics projects, who enjoys managing people and driving improvements in a federal setting.
Key Requirements
- One year of specialized experience equivalent to GS-13, including advanced analytics and reporting using tools like Databricks, Snowflake, or BigQuery
- Ability to collaborate across business units to identify and implement enterprise-wide data solutions
- Experience developing new rules and processes to enhance data integrity and quality
- Supervisory skills to assign, review, and ensure timely, high-quality work from staff
- Proficiency in architecting data schemas, building interactive reports, dashboards, and presentations
- Skills in developing work plans, leading data analyses, and providing recommendations
- Current federal employees must meet time-in-grade requirement of 52 weeks at GS-13
Full Job Description
The position focuses on data-related activities and produces metrics for key initiatives and projects to support the objectives of Marketing and Regulatory (MRP) agencies.
Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including time-in-grade restrictions, specialized experience and/or education, as defined below.
TIME-IN-GRADE: Current federal employees applying for a promotion opportunity must meet time-in-grade (TIG) requirement of 52 weeks of service at the next lower grade level in the normal line of progression for the position being filled.
FOR THE GS-14 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-13 level) that may have been obtained in the private or public (local, county, state, Federal) sectors which demonstrates: Delivery of advanced analytics and reporting architectures, (i.e.
Databricks, Snowflake, or BigQuery). Identify solutions that consolidate multiple group's business requirements (i.e. collaborate across business units to identify enterprise solutions).
Develop new rules and processes that improved data integrity. Note: There is no education substitution for this grade level.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social).
Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment.
You will receive credit for all qualifying experience, including volunteer experience. Major Duties:
- The duties may include, but are not limited to:
- Assigns and reviews the work of staff to ensure timely performance, soundness, and value.
- Responsible to architect data, defining schema and metrics, building interactive reports, dashboards and presentations.
- Understands and delivers data and program monitoring analytics.
- Developing work plans, gathering and synthesizing relevant data, leading analyses, and developing final recommendations.
- Monitors the quality of data and establishes new business rules/standards to improve data quality throughout the organization.
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