Finance AI Analytics Analyst

Mouser • Mansfield, TX

1d

About The Position

The Finance AI Analytics Analyst supports budgeting, forecasting, variance analysis, and financial reporting by preparing analyses, identifying key drivers, and ensuring data accuracy. The role analyzes financial and operational results to identify trends, risks, and opportunities, and builds and maintains recurring reports, dashboards, and analyses that improve visibility into business performance.

The analyst works with ERP, planning, and other business data sources; validates and reconciles data; and helps develop planning, reporting, and analytical capabilities. The position supports process improvement through automation, standardization, and technology, including AI-enabled tools that streamline workflows and improve decision support. It also involves developing data models, analytical tools, and reporting solutions; preparing clear and actionable materials for leadership reviews; documenting assumptions and business logic; responding to ad hoc requests; and learning how operational drivers influence financial performance.

Requirements

• Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field.
• Minimum 1 year of experience in FP&A, financial analysis, or accounting.
• Foundation in budgeting, forecasting, variance analysis, and financial reporting.
• Strong Excel skills and the ability to manipulate and analyze data efficiently.
• Strong analytical and problem-solving abilities.
• Strong attention to detail, with a focus on data accuracy, validation, and auditability.
• Ability to learn new systems, technologies, and business processes quickly.
• Strong communication skills and ability to translate analytical findings into business insights.
• Curiosity and interest in leveraging technology to improve business processes.

Nice To Haves

• Internship or project experience involving financial analysis, data analytics, reporting, automation, or AI tools.
• Exposure to forecasting, budgeting, or variance analysis in an internship or prior role.
• Exposure to data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
• Exposure to SQL, Python, automation tools, or AI-enabled technologies.
• Finance certifications or progress toward them, such as CPA or CFA.

Responsibilities

• Support budgeting, forecasting, and variance analysis by preparing analyses, identifying key drivers, and ensuring data accuracy.
• Analyze financial and operational results to identify trends, risks, and opportunities.
• Build and maintain recurring reports, dashboards, and analyses to improve visibility into business performance.
• Use ERP, planning, and other business data sources to support reporting and decision-making.
• Validate and reconcile data to ensure accuracy, consistency, and reliability across reports and analyses.
• Assist with the development and adoption of planning, reporting, and analytical capabilities.
• Support process improvement through automation, standardization, and improved use of technology.
• Use AI-enabled tools and automation technologies to improve productivity, streamline workflows, and enhance decision support.
• Assist in developing data models, analytical tools, and reporting solutions that improve access to business insights.
• Prepare clear, accurate, and actionable materials and analysis for leadership reviews.
• Document assumptions, methodologies, and business logic used in reporting and analysis.
• Respond to ad hoc requests by gathering data, structuring analyses, and delivering timely insights.
• Develop an understanding of business operations and how operational drivers influence financial performance.

Benefits

• Competitive pay and benefits
• Business casual dress environment
• State-of-the-art facility in which to work
• Experienced management team with vision and a passion for growth

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level