Language Data Analyst (German)
Berlin, Munich, Hamburg, Frankfurt, Cologne, Düsseldorf
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
We are looking for a detail-oriented, data-driven Data Analyst with strong German language skills to support the expansion of global product features for one of our clients. In this role, you will help ensure the delivery of accurate, high-quality data by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. You will collaborate closely with linguistics and engineering teams in a fast-paced, data-focused environment. This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote. The role is BYOD — Bring Your Own Device (laptop). What You Will Do
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Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Visa Sponsorship
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What you’ll work on
Full postingWe are looking for a detail-oriented, data-driven Data Analyst with strong German language skills to support the expansion of global product features for one of our clients.
This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote.
Analyze and improve the quality of multilingual text classifier outputs
Find patterns in data errors and improve rules, logic, and workflows
Develop and refine language-specific parsers with linguistics and engineering teams
Translate and validate taxonomy content (Skills, Titles, Occupations) between English and German
Document findings clearly and follow established processes
From the employer’s posting
We are looking for a detail-oriented, data-driven Data Analyst with strong German language skills to support the expansion of global product features for one of our clients. In this role, you will help ensure the delivery of accurate, high-quality data by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. You will collaborate closely with linguistics and engineering teams in a fast-paced, data-focused environment.
This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote. The role is BYOD — Bring Your Own Device (laptop).
Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
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 German (and/or German to English as needed).
Document findings clearly and follow established processes to ensure consistency and quality.
What you’ll bring
All qualificationsCore experience
- Understanding of syntax and structural language analysis.
- Proficiency in Microsoft Excel, including VLOOKUPs, functions, and data cleanup.
- Ability to follow complex instructions, navigate ambiguity, and work independently.
- Familiarity with text analysis, NLP, or machine learning fundamentals.
- Experience performing data analysis using tools such as Excel and/or Python.
Preferred experience
- Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred).
Qualification wording
Understanding of syntax and structural language analysis.
Proficiency in Microsoft Excel, including VLOOKUPs, functions, and data cleanup.
Ability to follow complex instructions, navigate ambiguity, and work independently.
Familiarity with text analysis, NLP, or machine learning fundamentals.
Experience performing data analysis using tools such as Excel and/or Python.
Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred).
Education & alternatives
Education - Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred). Language Skills
Tools in this posting
- Python
- SQL
- Excel
Source — Tool mentions in context
- Familiarity with text analysis, NLP, or machine learning fundamentals. - Experience performing data analysis using tools such as Excel and/or Python. Experience & Work Style
- 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.
Technical Expertise - Proficiency in Microsoft Excel, including VLOOKUPs, functions, and data cleanup. - Working knowledge of query languages such as SQL.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 2026 · 28 days ago
- Recorded sightings
- 65
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.
Here’s what you can expect:
- Competitive base
- Comprehensive benefits and wellness support
- Flexible work model: hybrid, remote, or in-office
- Real growth opportunities and leadership visibility
- Inclusive, respectful culture that blends U.S. innovation with Colombian heart
- A company that listens, invests in you, and celebrates wins together
About the Role
We are looking for a detail-oriented, data-driven Data Analyst with strong German language skills to support the expansion of global product features for one of our clients. In this role, you will help ensure the delivery of accurate, high-quality data by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. You will collaborate closely with linguistics and engineering teams in a fast-paced, data-focused environment.
This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote. The role is BYOD — Bring Your Own Device (laptop).
What You Will Do
Data Quality & Analysis
- Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
- Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
Language & Taxonomy Development
- 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 German (and/or German to English as needed).
Documentation & Process
- Document findings clearly and follow established processes to ensure consistency and quality.
What You Bring
Education
- Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred).
Language Skills
- Fluency in reading and writing German and English, with strong attention to linguistic detail.
- Understanding of syntax and structural language analysis.
Technical Expertise
- 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.
Experience & Work Style
- 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.
Visa Sponsorship
AspenView does not provide visa sponsorship for this role. Candidates must already be legally authorized to work in their country of residence.
Equal Opportunity Employer
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.
Visa Sponsorship
AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.
Equal Opportunity Employer
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin, Munich, Hamburg, Frankfurt, Cologne, Düsseldorf
- Comprehensive benefits and wellness support - Flexible work model: hybrid, remote, or in-office - Real growth opportunities and leadership visibility
More source context
We are looking for a detail-oriented, data-driven Data Analyst with strong German language skills to support the expansion of global product features for one of our clients. In this role, you will help ensure the delivery of accurate, high-quality data by analyzing multilingual outputs, improving classification performance, and supporting taxonomy translation and parser development. You will collaborate closely with linguistics and engineering teams in a fast-paced, data-focused environment. This is a full-time (40 hrs/week) contract engagement for up to 8 months, fully remote. The role is BYOD — Bring Your Own Device (laptop). What You Will Do
- Work authorization
- Reliable laptop and stable internet access. Visa Sponsorship AspenView does not provide visa sponsorship for this role. Candidates must already be legally authorized to work in their country of residence. Equal Opportunity Employer
More source context
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact. Visa Sponsorship AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future. Equal Opportunity Employer
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