Finance Data & Automation Specialist

AGS; Las Vegas (NV); On-site; USD 85,000 - 110,000; Full time

Job summary

AGS is seeking a Finance Data & Automation Analyst to improve and automate finance and accounting processes. You will work with FP&A, Accounting, IT, and other teams to build scalable data workflows using Microsoft Fabric and Power BI.

Ideal candidates have a finance or data analytics foundation, strong technical aptitude, and interest in expanding automation capabilities. This role emphasizes governance, accuracy, and efficient reporting.

Qualifications

• Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Business, or related field.
• Two or more years of experience in finance, accounting, data analytics, financial systems, BI, or related field.
• Hands-on experience with financial data and reporting processes.
• Experience with Microsoft Fabric, Power BI, SQL, or Python preferred.

Responsibilities

• Document current processes, identify manual work, and understand reporting or data issues.
• Evaluate automation opportunities based on business value, complexity, risk, and resources.
• Build and maintain data workflows and reports in Fabric and Power BI.
• Connect and transform data from financial and operational sources.
• Develop, test, and maintain Power BI reports and datasets.
• Investigate data discrepancies and validate results against source information.
• Maintain documentation of data sources, transformations, and controls.
• Update solutions as reporting needs and source systems change.

Skills

Analytical thinking

Problem-solving

Documentation

Communication skills

Education

Bachelor's degree

Tools

Microsoft Fabric

Power BI

SQL

Python

Power Query

APIs

Power Automate

Excel

Job description

AGS is seeking a Finance Data & Automation Analyst to improve and automate finance and accounting processes. You will work with FP&A, Accounting, IT, and other teams to build scalable data workflows using Microsoft Fabric and Power BI.

Ideal candidates have a finance or data analytics foundation, strong technical aptitude, and interest in expanding automation capabilities. This role emphasizes governance, accuracy, and efficient reporting.