See below for important information regarding this job. Position may be filled at either: Battle Creek, MI: $86,962-$134,435 Whitehall, OH: $90,669 -$140,166 Philadelphia, PA: $95,694 - $147,934 Fort Belvoir, VA: $99,200-$153,354 New Cumberland, PA: $99,200-$153,354 Richmond, VA: $90,751-$ 140,293

Duties

Provides financial information services and ensuring DLA financial management systems perform optimally to produce accurate, reliable, and timely financial information Works with stakeholders on enhancements of data models to reflect major changes in business requirements, business operations, and new datasets. Develops models, forecasts and visualization based on generally accepted statistical methods. Develops and applies methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. Provides technical advice and assistance to team members for the interpretation of system controls Provides support to functional experts who facilitates the end-to-end business cycle design as fully synchronized with DLAs continually evolving strategic direction and transformational programs. Designs, develops, synthesizes, and displays quantitative data using interactive reports, dashboards, and visualizations. i.e. (Alteryx, Excel, SAS, SQL, R, Python, VBA, JAVA, D3, Power BI, QLIK, Tableau, etc. Understands of applicable audit readiness end-to-end processes within a process management functional area.

Requirements

• Must be a U.S. citizen
• Tour of Duty: Flexible
• Security Requirements: Non-Critical Sensitive
• Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.
• Fair Labor Standards Act (FLSA): Exempt
• Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service.
• Recruitment Incentives: Not Authorized
• Bargaining Unit Status: Yes
• This position requires DoD Financial Management Level 2 certification within 2 years in accordance with DoD Instruction 1300.26, DoD Directive 5118.03 and section 1599d of Title 10, U.S.C. Once obtained, you must maintain and improve proficiency.

Qualifications

To qualify for a Financial Data Analyst your resume and supporting documentation must support: A. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-12 level, applicants must possess one year of specialized experience equivalent to the GS-11 level or equivalent under other pay systems in the Federal service, military, or private sector. To qualify at the GS-13 level, applicants must possess one year of specialized experience equivalent to the GS-12 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: GS-12: - Developing and analyzing complex business-oriented reports impacting DLA as well as other Federal agencies. - Extracting, evaluating, analyzing, and interpreting data results by developing and/or using data analytics tools, models, methods and techniques. - Assisting is providing technical advice to team members for the interpretation of system controls. - Assisting in designing criteria for studies and research, including data gathering, and applying quantitative and qualitative methods for purposes of analyzing and evaluating existing work methods and processes. - Analyzing reports and data, including using information obtained from statistical data to create models and visualizations; devising strategies and methods that resolve problems and improve work policies GS-13: - Experience with SAP enterprise resource planning (ERP) systems processes and data tables; extracts, evaluates, analyzes, or interprets data results by developing and/or using data analytics tools, models, methods and techniques. - Experience programming analytics tools such as ORACLE, SAS/SAS VIYA, CDSW for data mining; transformation and analysis (other analytical/ database tools will be considered). - Experience with a robust data visualization platform (i.e. Power BI, QLIK and TABLEAU) to translate complex business needs, requirements and strategy, multiple data sets and other data points into conceptual, relevant, and straightforward dashboards, visual tools, reports, and analytical solutions ((other visualization/reporting tools will be considered). - Designing criteria for studies and research, including data gathering, and applying quantitative and qualitative methods for purposes of analyzing and evaluating existing work methods and processes. - Using programming languages such as VBA, SAS, Python, R, SQL, JAVA, D3 (other languages will be considered). - Analyzing reports and data, including using information obtained from statistical data to create models and visualizations; devising strategies and methods that resolve problems and improve work policies. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

Substitution of education may not be used in lieu of specialized experience for this grade level.

Contacts

• Address DLA Finance 3990 E Broad Street Columbus, OH 43213 US
• Name: DLA Finance POC
• Phone: 614-692-0323
• Email: [email protected]