AIS (Applied Information Sciences)

Program Analyst

Client Site - Washington, D.C · Contract

No sponsorship$69k-$104kDetected 14 days ago

Data AnalysisCollaborationMentoring

About the role

This position is contingent upon contract award.
This is a proposal-based position; employment is contingent upon contract award and funding availability.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis.

Provide program analysis support to assist with federal complaints, investigations, and programs.
Provide support to investigative programs and operations, including case file management, search and seizure operations, suspension and debarment program, training, etc.
Access to resources, training, and mentorship to support your professional growth.
Support requests for on-site investigative operations and program analysis throughout the U.S.

A background in Program Analysis, Data Analysis, Case Analysis, or similar roles is preferred, but not required.
Employment decisions are based solely on qualifications, merit, and business needs.
Nice to Have Skills

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.The targeted base salary range for this role is $69,000-$104,000 per year.

When you join AIS, you're joining a mission-driven team that's passionate about making a difference.
You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact.
As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
Your contributions directly impact the company's success, and you share in its achievements.
A workplace where diversity is celebrated, and everyone's voice is valued.

This listing is sourced directly from AIS (Applied Information Sciences)'s careers page and normalized into a canonical job model.