Internship - AI & Data Analytics in Sales f/m/d (80-100%)

Posted 2 Days Ago
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Baden, Aargau, CHE
In-Office
Internship
Robotics • Analytics • Energy
The Role
Intern will support ABB’s sales organization by analyzing data from offer documents, SharePoint, Salesforce, internal sales tools, and other systems. Responsibilities include structuring commercial and technical information, identifying automation opportunities, developing dashboards or analytical modules, documenting processes, and supporting data-driven improvements. The role requires collaboration with sales stakeholders and practical programming and data-handling knowledge, preferably Python.
Summary Generated by Built In

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Marketing & Sales Manager

__

Your role and responsibilities

In this role, you will have the opportunity to gain hands-on experience in a sales environment by supporting initiatives focused on data understanding, structuring, analysis, and automation. You will work closely with the sales team to understand how commercial and technical information is generated, stored, and used across different systems, and help identify opportunities to improve efficiency through digitalization and automation.
The work model for the role is: #-LI-Hybrid
You will be mainly accountable for:

  • Analyzing data sources used by the sales organization, including offer documentation, SharePoint repositories, internal sales tools, and CRM systems such as Salesforce.

  • Understanding how commercial, pricing, business, and technical information is created, managed, and used across the sales process.

  • Identifying opportunities to structure data more effectively and support the development of automated workflows, dashboards, or analytical modules to improve team efficiency.

  • Collaborating with sales and other relevant stakeholders to document current practices, propose improvements, and support implementation of data-driven solutions.

Qualifications for the role

  • You are currently pursuing, or have recently completed, a Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Information Systems, or a related field.

  • You have strong interest in data analysis, artificial intelligence, automation, and the optimization of business processes through digital solutions.

  • You have practical knowledge of programming and data handling tools, preferably Python; familiarity with C#, databases, or API-based integrations is a plus.

  • You are comfortable working with large and unstructured datasets from different business systems and translating them into structured insights and improvement ideas.

  • You have an analytical mindset and enjoy understanding how information flows through business processes, from generation to reporting and decision-making.

  • You communicate clearly in English; additional language skills such as German are a plus.

  • You hold a valid work permit for Switzerland or are eligible to work in Switzerland.

More about us

Process Industries division delivers complete electrification and automation solutions, industry- specific products and lifecycle services across industries. Understanding and addressing challenges and opportunities take a deep domain knowledge. Engineering and delivering automation solutions from device to monitoring and control make our customers get more out of their investment.  Digitalization solutions including collaborative operations and augmented reality help improve plant and enterprise productivity, reduce maintenance and energy costs. Our engineering, project management, services and solutions portfolio covers a wide range of industries - Pulp, Paper & Fiber, Mining, Gearless Mill Drives (GMDs), Hoists, Metals, Growth Industries such as Cement, Food & Beverage, Data Center Automation, High Power Rectifiers, and Batteries.

This recruitment process is managed by Talent Acquisition Partner Emma Aslani.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

Skills Required

  • Currently pursuing or recently completed a Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Information Systems, or a related field
  • Strong interest in data analysis, artificial intelligence, automation, and business-process optimization through digital solutions
  • Practical knowledge of programming and data-handling tools, preferably Python
  • Ability to work with large and unstructured datasets from different business systems
  • Analytical mindset and ability to understand information flows through business processes
  • Clear English communication skills
  • Valid work permit for Switzerland or eligibility to work in Switzerland
  • Familiarity with C#, databases, or API-based integrations
  • Additional language skills such as German

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

ABB Insights

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The Company
HQ: Zürich
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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