At a Glance
- Tasks: Analyse conversation data to combat fraud using cutting-edge AI technologies.
- Company: Join a global tech leader focused on innovative solutions for social good.
- Benefits: Competitive salary, flexible schedule, medical insurance, and professional development opportunities.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a real impact by protecting millions from scams while working with a dedicated team.
- Qualifications: Bachelor’s degree in Computer Science and experience as a Data Analyst.
The predicted salary is between 40000 - 50000 € per year.
Join a pioneering project focused on real-time detection of fraudulent calls for a leading mobile OS and major phone manufacturer. This initiative involves conversation analysis to combat scam tactics, leveraging cutting-edge AI and data technologies. We are expanding our team and seeking a talented German-speaking Data Analyst with broad language and country experience, eager to work on impactful solutions that protect millions of users worldwide.
Client
Our client is a global leader in technology, specializing in AI, cloud computing, e-commerce, and more, dedicated to innovative solutions with a social good focus.
Responsibilities
- Utilize native-level proficiency in the German language to analyze conversation data.
- Collaborate with Machine Learning teams to provide high-quality data for fraud detection models.
- Manipulate and analyze large datasets using Python and emerging data technologies.
- Engineer and optimize prompts for Large Language Models (LLMs), understanding their capabilities and limitations.
- Develop insights into scam tactics specific to Germany to enhance detection strategies.
- Independently troubleshoot and solve analytical problems within project scopes.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- Proven experience as a Data Analyst or similar role.
- Strong skills in data manipulation and analysis, especially with Python.
- Experience working with Machine Learning teams and providing robust data support.
- Knowledge of current data technologies, methodologies, and prompt engineering for LLMs.
- Familiarity with scam tactics specific to Germany.
- Experience developing test automation for ETL/data pipelines is a plus.
- An agentic approach to workflow automation and problem-solving.
- Excellent communication skills and ability to work independently.
Nice to have
- Master’s degree in Computer Science or related field.
- Experience with Google tools and technologies related to Python and data analysis.
- Proven ability to manage multiple projects in fast-paced environments.
- Strong collaboration skills and adaptability to ambiguity.
We offer
- Opportunity to work on bleeding‑edge projects.
- Work with a highly motivated and dedicated team.
- Competitive salary.
- Flexible schedule.
- Benefits package – medical insurance, sports.
- Corporate social events.
- Professional development opportunities.
- Well‑equipped office.
Data Analyst with German employer: Grid Dynamics
As a global leader in technology, our company offers an exceptional work environment for Data Analysts, particularly those fluent in German. With a focus on innovative solutions that benefit society, employees enjoy a competitive salary, flexible schedules, and a comprehensive benefits package, alongside opportunities for professional development and collaboration with a dedicated team on cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst with German
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience as a Data Analyst to demonstrate how you’ve tackled challenges and contributed to projects.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for roles that excite you, especially those where you can leverage your German language skills!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight your fit for the position.
We think you need these skills to ace Data Analyst with German
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with data manipulation and analysis, especially using Python. We want to see how you've tackled similar challenges in the past, so don’t hold back!
Speak Our Language:Since this role requires native-level proficiency in German, be sure to showcase your language skills in your application. Use clear and concise language to demonstrate your communication abilities.
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your familiarity with scam tactics in Germany and how you can contribute to our mission of protecting users worldwide.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Grid Dynamics
✨Know Your Data
Make sure you brush up on your data manipulation and analysis skills, especially with Python. Be ready to discuss specific projects where you've used these skills, as well as any experience you have with Machine Learning teams.
✨Brush Up on Scam Tactics
Since the role focuses on detecting fraudulent calls, it’s crucial to understand scam tactics specific to Germany. Research common scams and be prepared to share insights on how they can be detected using data analysis.
✨Showcase Your Language Skills
As a German-speaking Data Analyst, your language proficiency is key. Practice discussing technical concepts in German, and be ready to demonstrate your ability to analyse conversation data in both English and German during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical problem-solving skills. Think of examples where you've independently troubleshot issues or optimised processes, and be ready to explain your thought process clearly.
