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About the Position

Hitachi Energy is seeking a motivated and technically inclined Technical Pre-Sales Intern (f/m/d) to support our sales team in demonstrating the value of our data analytics solutions to prospective clients. This internship offers a unique opportunity to gain hands-on experience in the pre-sales process, working with cutting-edge technology.

How you'll make an impact

• Assist senior pre-sales engineers in preparing and delivering product demonstrations, presentations, and technical deep dives to potential customers
• Support the customization of solution demonstrations to align with specific customer requirements and pain points
• Conduct technical research and analysis of customer environments and industry trends to inform solution proposals
• Collaborate with sales and product development teams to understand product capabilities and roadmap
• Help document customer requirements, technical specifications, and solution architectures
• Participate in proof-of-concept (POC) activities, including data preparation and configuration
• Provide technical assistance during initial customer engagements and follow-up activities
• Learn and stay updated on Hitachi's data analytics product portfolio and competitive landscape

Your background

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related technical field
• Strong foundational understanding of data analytics concepts, including data warehousing, business intelligence, machine learning, and big data technologies
• Familiarity with at least one programming language (e.g., Python, R, SQL) for data manipulation and analysis
• Excellent communication, presentation, and interpersonal skills with the ability to explain technical concepts clearly.
• Ability to work independently and as part of a team in a fast-paced environment
• Proactive and eager to learn new technologies and methodologies.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint)
• Prior experience with data visualization tools (e.g., Tableau, Power BI) or cloud platforms (e.g., AWS, Azure, GCP) is a plus.