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
