Senior Financial Analyst

    • Laurel, MD

Are you seeking significant work in a team and collaborative environment focused on delivering quality results to our sponsors and making critical contributions to the nation?

Are you organized, able to manage multiple tasks, and pay attention to details?

Do you love working with numbers, have strong computer skills and handling day-to-day financial related tasks (i.e. forecasting and planning resources, financial reporting, data analytics and visualizations)?

If so, we're looking for someone like you to join the Johns Hopkins University Applied Physics Laboratory (APL).

We are seeking an enthusiastic Senior Financial Analyst to help us champion teamwork, cultivate collaboration, develop and implement advanced financial reporting solutions to achieve the objectives of our mission area and the APL organization. As a member of the Management Information Service Group (AB2), you'll be joining a high-spirited team of hardworking professionals who are committed to delivering quality products to our customers including the Senior Executive leadership, Program Management, Branch and Group Supervisors, and our sponsors. We are passionate about learning, improving and preparing for the next generation.

As a Senior Financial Analyst you will play an active role in the overall financial success and operational efficiency of indirect cost management and financial reporting activities for our Air & Missile Defense (AMDS) Sector. You will provide leadership and support to the Financial Planning Section of the AB2 Group. You will collaborate with the Sector, Mission and Program Area teams to develop and implement advanced financial reporting solutions.

Duties Include:

Indirect Cost Management (40%) –
•Provide leadership and perform finance-related support to AMDS Management, Branch/Group Supervisors, and Mission Area in financial planning, reporting, forecasting, data analytics, and indirect cost management.
•Prepare routine financial analysis to forecast and identify potential financial risks.
•Proactively monitor staff planning versus actuals to ensure the data is reasonable and in alignment with the business targets.
•Prepare and present financial information across indirect and direct programs in AMDS.
•Interface with Sector management, Mission Area executives and Laboratory Accounting and Finance representatives to answer inquires, provide ad-hoc financial support and prepare what-if-scenario-analysis.

Quality Assurance (20%)–
•Perform quality reviews and activities to find and resolve quality related issues, inconsistencies, and other anomalies to decrease risk, improve and validate data quality, accuracy, reliability, relevance, completeness and timeliness.
•Monitor performance and quality control plans to identify improvements.

Data Analytics (40%) –
•Leverage business intelligence and data visualization tools to design, develop, and implement management-level dashboards to automate financial reporting solutions.
•Use business applications and data analytics tools to improve the quality of data and operational efficiency, extract data from multiple data resources, and perform analysis to manage the staff needs and reporting requirements of the sector, branch and groups.
•Develop analysis and reporting capabilities.
•Identify, analyze, and interpret trends or patterns in complex data sets.
•Partner with supervisors and team members to automate existing reports.
•Collaborate with management to establish business needs.
•Process, design and present data in a way to meet the financial and business objectives in AMDS.

You meet our minimum qualifications for the job if you …

•Highly-motivated self-starter a BS/BA in Business Administration, Finance, or a related field
•Have 5 years of relevant experience in financial planning and forecasting with excellent oral and written communication skills; able to work independently; strong interpersonal and problem-resolution skills.
•Advanced Excel modeling skills and proficient with data analytic tools including Power Query, Power Pivot, VLookup and other advanced data query functions.
•Demonstrated success in delivering data visualization solutions using various automated tools and techniques for data analysis and presentation.
•Able to prioritize/manage multiple assignments and remain responsive in a dynamic environment.
•Are able to obtain a Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship

You'll go above and beyond our minimum requirements if you...

•Have an advanced degree in business and/or statistics.
•Ability to write code in DAX, Python and SQL is a plus.
•Experience with government contracting indirect cost structures.
•Working knowledge of the Federal Acquisition Regulation, Cost Accounting Standards, and federal pricing activities.
•Proficient with data analytic and visualization tools (Power BI, Denodo, RESTful API) and APL business systems: PEER, EBSS, RMIS, FPB and DW.

Why work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. With a wide selection of challenging, impactful work and a robust education assistance program, APL promotes a culture of life-long learning. Our employees enjoy generous benefits and healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, veteran status, or any other characteristic protected by applicable law.

APL brings research applications to life in the space science, asymmetric operations, force projection, and air and missile defense categories, pioneering solutions to push scientific boundaries.

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