Financial Data Analyst

Siemens•Peachtree Corners, GA
•$66,973 - $114,811•Remote

About The Position

The Financial Data Analyst owns and coordinates the financial forecasting process for annual and periodic planning cycles. The role connects Project Strategy & Planning, Operations, and Finance, transforming capacity plans, production schedules, customer demand, backlog, product mix, pricing, and historical performance into forecasts and business insights. The analyst provides visibility into factory performance, bookings, customer and product mix, and revenue outlooks. They help leadership understand current and projected business performance and the operational factors driving results. This is primarily a data and analytics role focused on forecasting and business insights.

Requirements

  • Bachelor's degree in Data Analytics, Business Analytics, Finance, Economics, Supply Chain, Engineering, Operations, Mathematics, Statistics, or Business, or four years of equivalent experience in lieu of a bachelor's degree.
  • At least 3 years of experience in data analytics, forecasting, business intelligence, operations analytics, manufacturing analytics, or financial analysis.
  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data modeling, reconciliations, and large dataset analysis.
  • Strong analytical and problem-solving skills, including the ability to work through ambiguity.
  • Experience building dashboards, reports, and executive-level presentations.
  • Ability to translate detailed data into actionable business recommendations.
  • Strong communication and stakeholder management skills.
  • Ability to manage multiple priorities and deadlines in a fast-paced environment.
  • Willingness to travel up to approximately 5% yearly.

Nice To Haves

  • Experience with Tableau, Power BI, SAP, KNIME, SQL, Smartsheet, Power Query, Power Automate, Python, or similar analytical tools.
  • Experience in manufacturing, project-based, engineer-to-order, or configure-to-order environments.
  • Knowledge of capacity planning, production scheduling, backlog management, customer demand analysis, and operational forecasting.
  • Lean, Six Sigma, or continuous improvement experience.

Responsibilities

  • Own and coordinate business forecasting activities, developing monthly bookings, volume, and revenue forecasts from capacity plans, production schedules, backlog, customer demand, historical performance, and other business inputs.
  • Support customer-, product-, factory-, and business-level forecasting, partnering with stakeholders to ensure assumptions reflect current business conditions.
  • Analyze forecast changes, identify business drivers, and communicate risks and opportunities affecting performance.
  • Create and maintain reporting on customer mix, product mix, factory loading, demand trends, and overall business performance.
  • Analyze large datasets through scenario modeling and sensitivity analysis to identify trends, risks, opportunities, and performance drivers.
  • Develop data-driven recommendations and translate complex analysis into actionable insights for leadership and cross-functional teams.
  • Validate and reconcile data across schedules, operational reports, ERP systems, dashboards, and financial outputs to ensure forecast accuracy and consistency.
  • Investigate data discrepancies, forecast variances, and reporting inconsistencies, maintaining documentation, assumptions, and controls that support transparency and data integrity.
  • Establish and maintain repeatable forecasting processes and a reliable source of business performance data.
  • Develop dashboards, management reports, trend analyses, and executive-level presentations to support planning and decision-making.
  • Standardize forecasting tools, templates, and reporting structures, and improve data quality, reporting efficiency, and forecast visibility.
  • Automate recurring reporting, validation, and data preparation, and partner with digital and analytics teams to enhance forecasting capabilities and reduce manual effort.

Benefits

  • Health and wellness benefits
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