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- Tasks: Analyse multilingual data and improve classification performance for global product features.
- Company: Join Lightcast, a diverse and innovative workplace committed to unique perspectives.
- Benefits: Flexible remote work, competitive pay, and the chance to make a real impact.
- Other info: Independent contractor role with opportunities for growth and learning.
- Why this job: Be part of a dynamic team enhancing data quality and language processing.
- Qualifications: Fluency in Polish and English, with skills in data analysis and linguistics.
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) in London employer: Medium
Contact Detail:
Medium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Polish) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on LinkedIn, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. Use your knowledge of Polish language skills and data tools to showcase your expertise. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 3
Showcase your skills through a portfolio! Create a project that highlights your data analysis capabilities, especially focusing on multilingual outputs. This will give you an edge and demonstrate your practical experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analyst (Polish) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and language skills, especially in Polish and English. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your skills can help us improve our multilingual outputs. Keep it concise but engaging—show us your personality!
Show Off Your Technical Skills: Since this role involves tools like Excel and SQL, make sure to mention your proficiency in these areas. If you’ve got experience with RegEx or Python, let us know! We love seeing candidates who are comfortable with tech.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy—just follow the prompts!
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, as this will show your practical experience.
✨Language Proficiency Matters
Since the role requires strong Polish and English skills, prepare to demonstrate your fluency. You might be asked to translate a short text or explain linguistic concepts, so practice articulating your thoughts clearly in both languages.
✨Showcase Your Problem-Solving Skills
Think of examples where you've identified patterns in data errors or contributed to process improvements. Highlighting your analytical thinking and ability to navigate ambiguity will impress the interviewers.
✨Prepare for Technical Questions
Expect questions about your experience with tools like Python and RegEx. Brush up on your knowledge of text analysis and machine learning fundamentals, as these are key components of the role. Being able to discuss these topics confidently will set you apart.