Junior Research Analyst (f/m/d) at ALPAS GmbH
10119 Berlin, Mitte, Germany -
Full Time


Start Date

Immediate

Expiry Date

12 May, 25

Salary

0.0

Posted On

12 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Working Experience, Search Engines

Industry

Information Technology/IT

Description

WHAT WE OFFER

  • Working in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
  • High ownership and responsibility to manage your own projects
  • Rapid development with a steep learning curve
  • Awesome team events and an inclusive company culture with a diverse team
  • A hybrid work environment and a nice office in Berlin, Prenzlauer Berg

YOUR EXPERIENCE

  • At least one prior working experience (internship or working student role)
  • You hold a University degree in mechanical, electronic, or industrial engineering (or similar)
  • Analytical mindset with a structured and detail-oriented approach
  • Fluent English (C1)
  • Nice-to-have: Experience working with data and search engines and/or a solid understanding of industrial engineering industries

ABOUT US

Alpas is proud to be an equal-opportunity employer. We view diversity as a moral imperative and competitive advantage. We are committed to equal employment opportunities regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please let us know

Responsibilities

THE ROLE

At Alpas, we’re building the first dynamic global supplier search to automate sourcing. As a Research Analyst, you’ll ensure data accuracy, quality control, and model validation, providing key feedback to refine our AI-powered solutions. Your work will directly impact smarter, more efficient sourcing decisions.

YOUR RESPONSIBILITIES

  • Dive into data research, gathering relevant insights based on customer needs in industrial engineering to enhance our supplier search
  • Ensure top-notch data quality by validating, refining, and correcting key information
  • Help improve our AI models by reviewing predictions and providing structured feedback
  • Document key insights and share knowledge to support continuous improvement
  • Take ownership of projects that directly impact the quality of our product
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