In support of the Agency as a whole, the Business Analysis group leverages financial analytic tools to facilitate data collection management, data analysis, advanced analytic studies tool development, metrics, and forecasting. This organization provides cost/financial data and analyses to enable senior leader resource decision making.
In support of the Agency as a whole, the Business Analysis group leverages financial analytic tools to facilitate data collection management, data analysis, advanced analytic studies tool development, metrics, and forecasting. This organization provides cost/financial data and analyses to enable senior leader resource decision making.
As a Business Technologist, you will assist management (i.e., executives, managers, business analysts, and decision makers throughout the Agency) in a wide range of operational (day-to-day) and strategic business issues and actions to support decision-making by providing data, analytical tools and evaluation techniques/methods. Utilize state-of-the-art computer technologies to capture and model significant business processes and evaluate business practices. This work will be accomplished in coordination with teams of managers, data stewards, process partners, and customers to facilitate the delivery of the business intelligence necessary to guide the Agency toward strategic success. Use a variety of computer software tools including, but not limited to: Data Base Management Systems (DBMS), On-Line Analytical Processing (OLAP), Data Mining, Report Generation, Data Transformation, and modeling. Well versed in utilizing performance measurement techniques, economic analysis, data warehousing, managerial cost accounting, business modeling and financial reporting.
Business Technologist day-to-day responsibilities include:
- Employing some combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets.
- Through analytic modeling, scripting, and/or programming, develop and implement qualitative and quantitative methods for characterizing large datasets in various states of organization, cleanliness and structure.
- Reviewing the nature and quality of cost data sources and evaluate their relevance to analyses; recommending action for improvement and use of sources.
- Translating practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
- Effectively communicate complex technical information to non-technical audiences through varied visualization and presentation methods.
- Design analytic tables, reports and dashboards using business intelligence tools and platforms.
The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.
Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position.
A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. **Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreply@intelligencecareers.gov. For job vacancies that include stated testing requirements, also include the following: @uwe.nsa.gov, @nsa.gov, and @pearson.com**
U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. Please visit our Diversity link for more information https://www.intelligencecareers.gov/NSA/diversity-and-inclusion.
Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
Salary Range: $99,200 - $181,216 (Full Performance - Senior)
Salary range varies by work level and relevant experience to the position.
On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee.
Benefits: NSA offers excellent benefits to include relocation assistance, flexible work schedules, generous leave programs, paid personal fitness time, training and continuing education classes, health and life insurance, Federal Thrift Savings Plan (TSP), and a Federal retirement plan.
Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).
The ideal candidate is someone with a desire for continual learning and who possesses strong communication (oral and written), problem-solving, analytic, interpersonal skills and is:
- Adaptable
- Detail-oriented
- Able to manage multiple tasks with competing timelines and deliverables
- Adept at manipulating large data sets
Knowledge and experience in the following areas is desired:
- Managing complex projects with multiple tasks and milestones
- Manipulating large data sets