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Financial Data Analyst - OH

Job in Dayton, Montgomery County, Ohio, 45444, USA
Listing for: Lynch Consultants Llc
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 107000 - 114000 USD Yearly USD 107000.00 114000.00 YEAR
Job Description & How to Apply Below

Your Expertise Can Make a Mission-Level Impact!

Join our team supporting the Department of the Air Force (DAF) in Dayton, Ohio, on a Financial Improvement and Audit Remediation (FIAR) initiative focused on financial data automation, advanced analytics, and AI‑enabled mission support for mission‑critical priorities.

In this role, you will help design and operationalize an integrated financial automation capability that connects Financial Management (FM) data sources, automates key workflows, and enables repeatable analytics and AI‑driven use cases. This effort aims to reduce redundant manual analysis, improve data accessibility and quality, generate cost savings, and accelerate audit‑ready timelines across the Air Force financial management environment.

Only applicants who fully satisfy all required qualifications will be considered for further review.

Rates/Annual Compensation

$57-61/hr. ($107,000 - $114,000/yr) commensurate with experience.

Work Location and Schedule
  • This position requires an in‑person presence 5-days per week at Dayton, OH / Wright-Patterson Airforce Base.

Required Qualifications – Must Have
  • MUST have a Bachelor’s degree from an accredited institution.

  • MUST have 5+ years of relevant experience in data analytics, database support, reporting, automation, or related technical/business solution delivery.

  • MUST have an active Secret Clearance with the ability to maintain eligibility.

  • MUST have intermediate Python skills, including experience using Python to manipulate, cleanse, analyze, or validate datasets.

  • MUST have intermediate SQL skills, including experience querying, joining, transforming, and analyzing data from structured data sources.

  • MUST have intermediate Databricks experience or comparable experience working within modern enterprise data and analytics platforms
    .

  • MUST have intermediate accounting knowledge, including the ability to understand and analyze financial transactions, balances, and financial data.

  • MUST have intermediate experience with Substantive Analytical Procedures, including the ability to develop and execute data-driven procedures in support of financial statement audit or audit readiness activities.

Preferred Qualifications
  • Experience supporting Department of Defense
    , Department of the Air Force, or Federal financial management clients
    .

  • Familiarity with the Operational Air Force Financial Data Structure.

  • Familiarity with the Operational Air Force Data Dictionary.

  • Experience supporting FIAR, audit readiness, internal controls, or financial statement audit response efforts.

  • Experience with MS Power Application Automation.

  • Experience with Power BI, Tableau, or similar visualization platforms.

  • Familiarity with cloud-enabled analytics, workflow automation, and enterprise data environments supporting financial operations.

  • Experience working across both functional and technical teams to operationalize analytic and automation capabilities.

Skills & Duties
  • Supporting the integration, transformation, validation, and analysis of Air Force financial and operational data from multiple sources.

  • Developing and maintaining data analytics solutions, reports, dashboards, and visualizations to support FIAR and FM modernization objectives.

  • Creating data cleansing processes, scripts, and repeatable workflows to improve data quality and reduce manual effort.

  • Supporting the development of automation use cases that connect FM data sources and streamline business processes.

  • Assisting with AI- and analytics-enabled solutions that improve audit readiness, traceability, and decision support.

  • Applying OCR capabilities and related technologies to extract and structure data from documents and other non‑standard inputs.

  • Supporting the use of large language models and emerging AI/ML tools in operational…

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