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Costing Analytics Manager

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Landis+Gyr AG
Full Time position
Listed on 2026-09-25
Job specializations:
  • Business
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 111000 - 148000 USD Yearly USD 111000.00 148000.00 YEAR
Job Description & How to Apply Below

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Costing Analytics Manager

At Landis+Gyr, we're helping shape the future of energy—making it more intelligent, resilient, and sustainable.

As a global energy technology leader, we're accelerating the energy evolution through purposeful innovation and trusted partnerships. Trusted by more than 2,000 utilities worldwide, our intelligent solutions connect devices, data, and decisions across the grid, helping customers modernize infrastructure, optimize operations, and deliver energy that is more reliable, resilient, accessible, safe, and sustainable.

Behind every solution is a team of approximately 3,300 employees across more than 40 countries who are passionate about solving complex challenges, driving innovation, and making a meaningful impact for our utility customers and the communities they serve.

Join Team Green and help shape the future of intelligent energy
.

Job Summary

Landis+Gyr is seeking a Cost Analytics Manager with a focus on accuracy and rigor for costing and quoting complex customer solutions. This role is a true data-analytics discipline to cost management and takes ownership of the cost and pricing models that underpin our commercial proposals. This role directly supports our ability to win and retain customers while accelerating quote and contracting cycles.

Key Responsibilities and Accountabilities:

Cost Analytics & Modeling

  • Establish and operate a data-driven methodology for managing and projecting solution cost, replacing predominantly qualitative inputs with quantitative analysis.
  • Own, maintain, and refresh cost models on a recurring cadence (at minimum every six months) to reflect new internal and external cost factors.
  • Identify, quantify, and increase organizational recognition of the cost drivers that most affect solution profitability.
  • Lead ongoing cost-refinement initiatives that improve the precision of product and solution cost projections.
  • Improve the accuracy of quoting systems and the cost assumptions that feed customer proposals.
  • Partner with sales and commercial teams to develop and approve complex customer proposals, shortening quote and contracting cycles.
  • Support consistent, high-quality Statements of Work (SOWs) grounded in reliable cost data.
  • Enable the pursuit of multiple complex opportunities concurrently by providing scalable, repeatable cost and pricing analysis.

Commercial Partnership & Governance

  • Reduce reliance on technical and delivery resources for commercial cost work by owning that analysis directly.
  • Provide cost and margin insight to inform pricing decisions and protect target margins.
  • Contribute to the achievement of revenue and margin targets through improved cost discipline

Company Values:

  • Supports and adheres to Company’s core values.
  • Supports and adheres to Company’s Code of Conduct and Ethics Policy
  • Represents Company in a positive, professional manner when working with both internal and external customers.

Education and Experience:

Education:

Bachelor’s degree in Finance, Business, Engineering, Data Analytics, or a related field (or equivalent experience).

Required Experience:

  • Demonstrated experience in cost analysis, pricing, commercial operations, or financial/data analytics.
  • Strong quantitative and data-analytics skills, including building and maintaining cost or pricing models.
  • Experience supporting complex proposals, quoting, or contracting in a B2B environment.
  • Ability to translate cost drivers into clear commercial recommendations for non-financial stakeholders.

Preferred Qualifications:

  • Experience in the utility, energy, metering, or special solutions sector.
  • Familiarity with quoting/CPQ systems and SOW development.
  • Proficiency with analytics tooling (e.g. advanced spreadsheet modeling, BI/analytics…
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