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- Tasks: Analyse multilingual data and improve classification performance for global product features.
- Company: Lightcast, a diverse and inclusive tech company focused on innovation.
- Benefits: Flexible remote work, competitive pay, and the chance to work with cutting-edge technology.
- Other info: Independent contractor role with excellent growth opportunities in a dynamic environment.
- Why this job: Make a real impact by ensuring high-quality data delivery to customers worldwide.
- Qualifications: Fluency in Polish and English, strong analytical skills, and experience with data tools.
The predicted salary is between 30000 - 40000 £ per year.
Lightcast is seeking detail-oriented, data-driven professionals with strong Polish language skills to support the expansion of our global product features. In this role, you will help ensure we deliver accurate, high-quality data to our customers by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. This is a full-time (40 hrs/week) independent contractor position for up to 6 months. This role is BYOD—Bring Your Own Device (laptop).
Major Responsibilities:
- Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
- Partner with linguistics and engineering teams to develop and refine language-specific parsers.
- Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Polish (and/or Polish to English as needed).
- Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
- Document findings clearly and follow established processes to ensure consistency and quality.
Education & Experience:
- Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred).
- Fluency in reading and writing English and Polish, with strong attention to linguistic detail.
- Understanding of syntax and structural language analysis.
- Proficiency in Microsoft Excel (including VLOOKUPs, functions, and data cleanup).
- Working knowledge of query languages such as SQL.
- Advanced experience writing and debugging rules using RegEx.
- Familiarity with text analysis, NLP, or machine learning fundamentals.
- Experience performing data analysis using tools such as Excel and/or Python.
- Comfort working with high-volume, repetitive tasks while maintaining accuracy and focus.
- Ability to follow complex instructions, navigate ambiguity, and work independently.
- Strong sense of urgency, organization, and time management.
- Reliable laptop and stable internet access.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
Data Analyst (Polish) employer: Medium
Contact Detail:
Medium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Polish)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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 examples from your past experiences that highlight your attention to detail and data analysis prowess.
✨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 and fit your skill set!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Show your enthusiasm for the role and reiterate why you’re a great fit.
We think you need these skills to ace Data Analyst (Polish)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, language skills, and any relevant tools like Excel or SQL. We want to see how your background fits perfectly with what we're looking for!
Show Off Your Language Skills: Since this role requires strong Polish and English skills, don’t forget to showcase your fluency! Include examples of how you've used these languages in a professional setting, especially in data-related tasks.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and get straight to the point. We appreciate well-structured applications that make it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy and ensures your application goes directly to us. Don’t miss out on this opportunity!
How to prepare for a job interview at Medium
✨Know Your Data
Before the interview, brush up on your data analysis skills, especially in Excel and SQL. Be ready to discuss specific projects where you've improved data quality or analysed multilingual outputs. This shows you’re not just familiar with the tools but can apply them effectively.
✨Language Proficiency Matters
Since this role requires strong Polish language skills, prepare to demonstrate your fluency. You might be asked to translate a short text or explain linguistic concepts. Practising these skills beforehand will help you feel more confident during the interview.
✨Showcase Your Problem-Solving Skills
Think of examples where you've identified patterns in data errors or contributed to process improvements. Be ready to explain your thought process and how you approached these challenges. This will highlight your analytical mindset and attention to detail.
✨Be Organised and Professional
Since this is a remote position, ensure you have a reliable setup for the interview. Choose a quiet space, test your internet connection, and have your laptop ready. Being organised reflects your time management skills and readiness for the role.