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 in London employer: Grid Dynamics
Join a forward-thinking technology leader that prioritises innovation and social good, where as a Data Analyst with German, you will contribute to impactful projects aimed at protecting millions of users from fraud. Enjoy a collaborative work culture that values professional development, offers a competitive salary, and provides a flexible schedule alongside a comprehensive benefits package, all within a well-equipped office environment. This is an excellent opportunity to grow your skills while working with cutting-edge AI and data technologies in a dynamic team setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst with German in London
✨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 scenarios related to data analysis and fraud detection. Use your knowledge of Python and machine learning to showcase your skills and how they apply to the role.
✨Tip Number 3
Don’t just wait for job postings! Be proactive and reach out to companies you admire, like ours at StudySmarter. Express your interest in working on innovative projects and how your skills can contribute to their goals.
✨Tip Number 4
Stay updated on the latest trends in AI and data technologies. This will not only help you in interviews but also show potential employers that you're passionate about the field and ready to tackle real-world challenges.
We think you need these skills to ace Data Analyst with German in London
Some tips for your application 🫡
Show Off Your German Skills:Since we're looking for a Data Analyst with native-level proficiency in German, make sure to highlight your language skills right at the top of your application. Use examples that showcase your ability to analyse conversation data in German, as this is key to the role.
Tailor Your Experience:When you’re writing about your past roles, focus on experiences that relate directly to data manipulation and analysis, especially using Python. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects!
Get Technical:Don’t forget to mention your experience with Machine Learning teams and any knowledge of current data technologies. If you've worked on prompt engineering for LLMs or have insights into scam tactics specific to Germany, make sure to include that too!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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.
