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Finance Data Analyst Jobs in USAF Academy, CO

Finance Data Analyst Jobs in USAF Academy, CO


Moxa, a global leader in industrial networking, cybersecurity, and automation, is actively seeking an analytical, forward-thinking Finance Data Analyst to support its expanding financial operations. 


Moxa enables the global power industry to modernize and secure critical infrastructure, delivering innovative solutions for substation automation, grid modernization, and renewable energy applications. 


Grounded in core corporate values of Integrity, Customer Focus, Mutual Respect, and Execution, this position offers a brilliant career track for an individual passionate about blending traditional finance operations with modern data engineering and artificial intelligence.



Salary, Location, and Employment Type


The financial compensation packages and logistical boundaries for this remote technical role are structured below:


Job Location: Remote / Virtual Workspace (Operating out of the USAF Academy, CO regional tracking).


Organization: Moxa.


Role Title: Finance Data Analyst / Finance Support.


Employment Type: Full-time (Permanent).


Base Salary Range: $63,000 - $85,500 per year.


Target Bonus Scale: $7,000 - $9,500 per year.


Total Compensation Target: $70,000 - $95,000 annually (Base + Performance-linked bonus parameters).



Job Summary and Key Responsibilities


This hybrid role acts as the bridge between day-to-day corporate financial tracking and advanced data automation. Reporting directly to the Head of Finance, your mission is to systematically transition manual reporting workflows into scalable, automated, and decision-driving business intelligence matrices.



Data Engineering, Analytics, and AI Automation


Dashboard Architecture: Design, build, and optimize interactive dashboards and performance metrics using modern business intelligence reporting tools.


AI Integration: Leverage state-of-the-art AI tools (such as Copilot and ChatGPT workflows) to consolidate manually keyed financial records into highly functional, automated worksheets—minimizing human manual data entry errors.


Requirements Translation: Define, interpret, and translate complex business operational processes into structured, auditable analytics frameworks.


Process Optimization: Conduct regular reviews of internal accounting and reporting workflows, implementing continuous data adjustments and structural improvements.



Day-to-Day Accounting & Operational Functions


General Ledger & Closings: Provide direct analytical support to core accounting operations during day-to-day data entry tasks and high-pressure month-end close schedules.


Cash Flow Support: Execute baseline financial tasks including posting Accounts Receivable (AR) balances, auditing daily bank balances, and coordinating vendor payment schedules.


Cross-Functional Operations: Interface with operational teams to acquire a holistic understanding of supply chains and system dependencies (with robust on-the-job training provided).



Qualifications and Requirements


We are looking for a technically curious, operationally bold technologist who possesses a sharp attention to detail and a passion for data structures.



Education and Foundational Knowledge


Academic Background: Undergraduate degree in Data Analytics, Business Reporting, Information Systems, or an equivalent, comparable technical field of study.


Core Subject Awareness: A foundational understanding of standard business operations and accounting principles is required (complemented by targeted corporate on-the-job coaching).



Technical Competencies & Software Skills


Excel Mastery: High-level proficiency in Microsoft Excel, with verified capability utilizing pivot tables, lookups, statistical arrays, and automated analytical models.


BI Suite Fluency: Direct, practical proficiency utilizing Power BI or similar enterprise data-based reporting architectures.


AI Literacy: Practical, hands-on experience utilizing generative AI applications (e.g., ChatGPT, Microsoft Copilot) to optimize workflow logic and spreadsheet scripts.


MS Office Infrastructure: Solid operational grasp of the broader Microsoft Office technology stack, specifically including SharePoint, Teams, and Outlook environments.


Execution Track Record: Proven history of taking proactive initiative, identifying data inconsistencies independently, and consistently meeting strict fiscal reporting deadlines.



Role Details


FeatureDetails
Industry SegmentIndustrial Cybersecurity, Smart Grid Automation, & Tech Finance
Reporting LineDirect Strategic Reporting to the Global Head of Finance
Tool DeploymentAdvanced MS Excel, Power BI Environments, & Copilot AI Engines
Inclusivity PolicyEqual Opportunity Employer (Disability & Veteran Friendly)


Perks and Why Join Moxa?


Moxa offers a highly collaborative and supportive culture that champions continuous professional development and internal career scaling. 

Alongside working at an industry powerhouse that shapes the future of modern grid automation, the organization provides an attractive, comprehensive compensation framework. 

Employees receive competitive fringe benefits designed to support their personal and professional well-being, including paid paternity leave, robust disability insurance options, and extensive corporate development resources.



How to Apply? (Professional Advice)


Eligible data analysts and tech-focused finance professionals who want to secure this remote role can apply directly via Moxa’s centralized digital careers hub.


Professional Advice:


When optimizing your resume for Moxa's recruitment panel, ensure your profile clearly communicates your technical data skills alongside any financial exposure. Do not simply list "data extraction"; explicitly outline how you have used automation to save time. 

For instance, describe how you "leveraged Microsoft Copilot or advanced Excel macros to automate manual data collection, reducing processing intervals by 25%." Given that the position reports directly to the Head of Finance, showcasing an understanding of database structures, schema relationships, and a desire to eliminate repetitive manual entry will instantly distinguish your application.