FP&A Analyst

Ametek, Inc.•Huntsville, AL

About The Position

Abaco Systems, a business unit of AMETEK, Inc., is hiring an FP&A Analyst to support planning, forecasting, reporting, and strategic decision-making. The role uses AI, automation, and advanced analytics to improve forecast accuracy, streamline reporting, identify risks and opportunities, and deliver actionable business insights. The position works with Finance, Operations, IT, business leaders, and senior leadership to improve planning and reporting processes and inform business decisions. Employees may work with or be exposed to export-controlled or classified information, which may only be accessed by U.S. citizens, qualified permanent residents, or individuals with proper clearances.

Requirements

  • Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Business, or a related field.
  • Five or more years of progressive experience in FP&A, financial analysis, management reporting, business partnering, or a related finance role.
  • Demonstrated experience using approved AI tools to improve productivity, decision-making, analytical quality, and cost effectiveness.
  • Ability to identify appropriate, high-value AI use cases, develop effective prompts and workflows, and critically evaluate AI-generated outputs before business use.
  • Experience with financial modeling, annual planning, forecasting, scenario analysis, variance analysis, and executive-level reporting.
  • Advanced proficiency in Microsoft Excel and presentation tools, with experience using business intelligence and data visualization platforms.
  • Experience working with SAP, planning, consolidation, or enterprise performance management systems.
  • Working knowledge of data structures, data quality concepts, automation, statistical analysis, and predictive modeling.
  • Understanding of responsible AI principles, including data privacy, confidentiality, bias awareness, model limitations, human oversight, and documentation.
  • Strong financial acumen and ability to connect operational activities to financial outcomes.
  • Advanced analytical, statistical, and problem-solving skills, including ability to work with large and complex data sets.
  • Sound judgment about when AI should support a task and when human analysis, review, or escalation is required.
  • Ability to detect unsupported assumptions, hallucinations, bias, data-quality issues, and other limitations in AI-generated outputs.
  • Strong business intelligence, data visualization, dashboarding, and data-storytelling capabilities.
  • High attention to detail, accuracy, internal controls, and reconciliation of analytical results to source systems.
  • Ability to manage multiple priorities, meet recurring deadlines, and deliver high-quality work in a fast-paced environment.
  • Excellent written and verbal communication skills, including ability to translate complex analysis into concise executive-level insights.
  • Strong collaboration, influencing, and relationship-building skills across Finance, Operations, IT, and senior leadership.
  • Commitment to responsible handling of confidential business information and adherence to company AI, cybersecurity, data-governance, and compliance requirements.
  • Must meet applicable access requirements for export-controlled or classified information: U.S. citizenship, qualified permanent-resident status, or proper clearances.

Nice To Haves

  • An advanced degree.
  • Experience with SQL, Python, Power Query, Power BI, or similar tools.

Responsibilities

  • Lead budgeting, forecasting, long-range planning, and financial performance analysis.
  • Build financial models and AI-assisted forecasts for revenue, margin, expenses, cash flow, and business scenarios.
  • Automate recurring reports, dashboards, variance analysis, and management commentary using approved AI and analytics tools.
  • Develop prompts and workflows to improve FP&A speed, accuracy, and productivity.
  • Analyze trends, anomalies, risks, and opportunities and translate findings into clear recommendations.
  • Validate AI-generated outputs against approved data sources before business use.
  • Prepare business cases and evaluate investments, pricing, cost-reduction initiatives, and growth opportunities.
  • Partner with Finance, Operations, IT, and business leaders to improve planning and reporting processes.
  • Protect confidential data and follow company requirements for responsible AI, cybersecurity, and data governance.
  • Present concise financial insights and recommendations to senior leadership.
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