Business Technologist – Experienced

Skills

– 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.

– Work 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.

– Utilize performance measurement techniques, economic analysis, data warehousing, managerial cost accounting, business modeling and financial reporting.

Qualifications

Entry is with a Bachelor’s degree plus 6 years of relevant experience, or a Master’s degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. A high school diploma or GED plus 10 years of relevant experience, or an Associate’s degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

– Degree must be in a Business Field (e.g., Program Management, Business Management, Business Administration, Accounting, Finance, and Economics) or a Technical Field (e.g., Engineering, Systems Management, Computer Science, and Information Technology).

– Relevant experience must be in business or finance (e.g., economic analysis, managerial cost accounting, business modeling, data warehousing, or financial reporting), and can also include financial (or business related) computer programming. Formal or informal supervisory experience is required. Experience with DoD and IC sponsored programs and Certified Defense Financial Manager (CDFM) or DAWIA Financial Management (FM) level II is preferred.

*New hires required to obtain DAWIA Level I certification within 24 months.

Pay, Benefits, & Work Schedule

Salary Range: $94,796 – $145,629

*The qualifications listed are the minimum acceptable to be considered for the position. 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.

This is a full-time position, Monday – Friday.

How To Apply – External

To apply for this position, please click the ‘Apply Now’ button located at the top or bottom of this page. After completing the application and clicking the ‘Submit Final’ button, you will receive a confirmation email. Emails regarding your application status will be sent periodically. Please ensure your spam filters are configured to accept emails from noreply@nsa.gov.

***PLEASE NOTE:

U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. 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.

This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. 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.

Specialized Competency

– Evaluate and develop (using mathematical, statistical, economic, and engineering techniques) cost models and cost estimating relationships on efforts that reflect schedule, performance, and economic factors.

– Review the nature and quality of cost data sources and evaluate their relevance to analyses; recommend action for improvement and use of sources; and, establish relationships with providers.

– Employ 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.

– Build, improve, and maintain cost databases and tools used in the development of cost estimates.

– Understand Planning, Programming, Budgeting, and Execution System (PPBES) and contractor cost accounting systems as needed to evaluate cost, schedule and performance and to develop cost estimating relationships.

– Translate 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.

– Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting requirements associated with the collection, processing, storage and analytic capabilities and limitations of the organization.

– Design analytic tables, reports and dashboards using business intelligence tools and platforms.

– Receive and convey information using computers, software applications, multimedia and other technologies and techniques.

DCIPS Disclaimer

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.