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Language Data Analyst Jobs (NOW HIRING)

Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max ...

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Language Data Analyst information

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$34K

$82.6K

$136K

How much do language data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for language data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Language Data Analyst?

A typical day for a Language Data Analyst involves collecting, processing, and annotating language data, performing quality checks, and analyzing linguistic patterns to support the development of language technologies. You might work closely with data scientists, computational linguists, and software engineers to refine datasets and improve language models. The role often requires balancing independent data tasks with collaborative problem-solving within a multicultural team environment. Over time, you may have opportunities to take on project leadership, specialize in certain languages or technologies, and contribute to product innovation.

What are the key skills and qualifications needed to thrive in the Language Data Analyst position, and why are they important?

To succeed as a Language Data Analyst, you need strong analytical skills, linguistic expertise, and a relevant degree in linguistics, computer science, or a related field. Familiarity with data analysis tools such as Python, SQL, annotation platforms, and experience with Natural Language Processing (NLP) frameworks is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication skills help set candidates apart. These competencies are crucial to ensure the accuracy and quality of language data, enabling effective collaboration and insightful analysis in multilingual and multicultural projects.

What is a Language Data Analyst job?

A Language Data Analyst is responsible for processing, analyzing, and improving linguistic data used in AI, machine learning, or natural language processing (NLP) systems. They work with large datasets, annotate text, evaluate language models, and ensure data quality. The role requires proficiency in one or more languages, strong analytical skills, and familiarity with computational linguistics or data processing tools.

More about Language Data Analyst jobs
What cities are hiring for Language Data Analyst jobs? Cities with the most Language Data Analyst job openings:
What are the most commonly searched types of Language Data Analyst jobs? The most popular types of Language Data Analyst jobs are:
What states have the most Language Data Analyst jobs? States with the most job openings for Language Data Analyst jobs include:
Infographic showing various Language Data Analyst job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 87% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 6 days ago


Job description

Job Title: Data analyst
Location: Onsite
Long Term Contract
Job Summary:
We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong skills in Data Analysis and visualization. Please would you submit your rates with some CVs for potential candidates?
Below you can see the details of the profile we are looking for:
Business analyst skills: work statistical indicators, metric, ratios, etc. for business needs.
Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.).
Financial data experience.
Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
Power Apps & Power Automate: Design and implementation of customized tools for the business.
Data engineer: ETL process, data warehouse, Snowflake.
Wide experience in collaboration with business partners for collection of new requirements and translation into technical solutions.
Bachelor's degree in computer science, mathematics, or statistics preferred.
Proactiveness.