Data Analyst

Join Siemens Rail Automation US as a Sales Support Professional within the Freight Estimating Organization, where you will lead estimating, proposal development, pricing activities, and critical business processes from concept to completion. In this role, you will collaborate closely with stakeholders to gather requirements, analyze complex data, develop accurate estimates, and drive successful business outcomes.

The ideal candidate is highly organized, able to manage multiple priorities, and experienced in data analysis, data mining, estimating methodologies, and pricing tools, with a passion for uncovering insights hidden within large data sets. You will work across a broad range of functional teams and stakeholders, helping to improve decision-making and operational success. At Siemens, we foster a culture of ownership, innovation, transparency, and continuous learning, empowering employees to take initiative, celebrate achievements, and grow through a wide range of development opportunities.

What your day may look like:

• Perform daily tasks to prepare product estimates with an emphasis on analyzing data to ensure adherence to contractual obligations, optimal Gross Margin, and competitive estimates for both domestic and international opportunities.
• Review specifications, interface with Engineering and Sales to ensure Siemens is bidding to prescribed and documented Scope of Work.
• Set up meetings with Sales and/or Management to review bids prior to submittal and/or resolve any issues that arise in the bid phase.
• Attending Internal and External meetings to review open opportunities, align on bid date commitments and communicate any issues that arise.
• Interface with Estimating and Strategic Design and Development teams to develop and implement data analytic solutions including testing and training of others.

Main Activities:

• Develop estimates using advanced tools and processes.
• Emphasis on streamlining processes and data analytic improvements.
• Create requirements documentation for estimates and proposals.
• Interface with Estimating and Strategic Design and Development teams to develop and implement data analytic solutions and estimating tool improvements.

• BS/BA in Engineering, Data Science, Computer Science, Math, Finance, Economics, Statistics, Business or related subject area. Advanced degree Preferred.
• Experience in Freight Rail Engineering, Freight Products, estimating, and proposal development, with the ability to gather requirements and translate them into accurate estimates and customer-focused solutions.
• Strong analytical capabilities with experience in data analysis, process optimization, operational excellence, continuous improvement initiatives, quality programs, and change management projects.
• Proven ability to manage complex and high-impact projects while balancing multiple priorities in a fast-paced environment.
• Strong communication, presentation, and organizational skills, with the ability to collaborate effectively across functions including Engineering, Finance, HR, Procurement, and Sales.
• Leadership experience through project management or people leadership, combined with a customer-focused mindset, adaptability, and the ability to quickly learn and implement new processes.

Applicants must be legally authorized for employment in the United States without needing current or future employer-sponsored work authorization.

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html, Purpose is the reason a company exists. It’s not about making money or selling products - it’s the deeper “why” behind everything we do. It answers the question: What problem are we solving? What positive change are we creating?

For Siemens, our purpose has been clear for over 175 years: We create technology to transform the everyday, for everyone.

The world needs technologies that work. Technologies that matter. Technologies that solve today’s challenges and help shape a better tomorrow. And that’s exactly what we build. By bringing together the real world (factories, buildings, power grids, trains) with the digital world (software, data, AI, digital twins), we help our customers become more competitive, resilient, and sustainable.