Leidos

Program Financial Analyst V

Reston, VA, US$116,350-$210,325Posted 2 days ago

Job Description

Description

The Maritime Business Area within Defense has a contingent opening for a Program Financial Analyst 5 for the $2.9B hybrid Indo-Pacific Logistics and Sustainment Services (ILS2) Task Order. In this role, you will serve as a critical member of the team and help define the program’s financial goals and objectives; create and maintain a program's budget, analyze progress reported against the program baseline; identify risks and opportunities against the program baseline; and recommend actions to improve progress to achieve flawless program execution.

We are seeking a talented and energetic candidate to work with the best and brightest employees around the country in creating innovative all-encompassing solutions for our programs. You will work in a fast-paced and diverse environment, enjoy flexible work arrangements, and will have a management team that encourages your career development and growth. In this role, you will gain many intangible skills, such as time and task management, critical thinking and problem solving, the ability to communicate complicated problems in a concise manner, as well as solve complex problems using available tools.

Primary Responsibilities

  • Develop, own, and refine financial forecasts, budgets, and Estimates at Complete (EAC) for the program and individual projects, with collaboration across stakeholders and analysis of revenue and cost elements down to the project level
  • Prepare and analyze quarterly EACs, Annual Operating Plans (AOP), and Long Range Plans (LRP) for internal controls and Business Area planning
  • Manage program and project life-cycle financial activities across Task Orders, including project setup/maintenance, invoicing support, accruals, financial projections, subcontractor and funding tracking, period close, and variance analysis
  • Support monthly closing of key financial measurements (revenue, operating income, operating cash flow) and lead variance analysis against forecast for

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