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Language Data Analyst Jobs in Vancouver, BC (NOW HIRING)

YO AI Labs

Korean Language Expert - Remote

Vancouver, BC · Remote

$65 - $100/hr

Professional experience working with language data, translation, localization, content review, or linguistic analysis. * Ability to provide clear, constructive, and actionable linguistic feedback.

YO AI Labs

Korean Language Expert - Remote

Vancouver, BC · Remote

$65 - $100/hr

Professional experience working with language data, translation, localization, content review, or linguistic analysis. * Ability to provide clear, constructive, and actionable linguistic feedback.

AfterShip

Senior Marketing Data Analyst

Vancouver, BC · On-site

Your Mission: We're looking for a Senior Marketing Data Analyst to turn complex data into ... Language Skills: Fluency in English (required), fluency in Mandarin a plus At AfterShip, we know ...

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All JobsLanguage Data Analyst JobsLanguage Data Analyst Jobs in Vancouver, BC

Language Data Analyst information

See Vancouver, BC salary details

$12

$29

$62

How much do language data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for language data analyst in Vancouver, BC is $29.97, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $38.65 per hour, depending on experience, location, and employer.

What is a language data analyst?

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.

What does a language data analyst do?

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 as a language data analyst?

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 are popular job titles related to Language Data Analyst jobs in Vancouver, BC?

For Language Data Analyst jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Language Data Analyst jobs in Vancouver, BC look for?

The top searched job categories for Language Data Analyst jobs in Vancouver, BC are:

Language Data Analyst jobs near you
Infographic showing various Language Data Analyst job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $62,334 per year, or $30 per hour.

Data Analyst

Vancouver, BC • Hybrid

Connor, Clark & Lunn Financial Group Ltd.
See more jobs at Connor, Clark & Lunn Financial Group Ltd.external

CA$110K - CA$130K/yr

Full-time

Posted 4 days ago

Job description

Interested in joining one of Canada's top performing asset managers? We are looking for a Data Analyst to join our Enterprise Data Solutions team. In this role, you'll help build integrated, reliable, and scalable data solutions that support business decision-making across the organization. Working with enterprise platforms such as Salesforce, Greenhouse, and Dayforce, you'll collaborate with business and technology partners to analyze data, support system integrations, improve data quality, and contribute to impactful enterprise-wide data initiatives. If you're curious, analytical, and enjoy working at the intersection of business, data, and technology, this could be an exciting next step in your career. Our offices operate on a hybrid model with three days per week in-office to support team collaboration.

What You Will Do

  • Analyze and profile data across enterprise systems to identify trends, issues, and opportunities for improvement.
  • Partner with business and technology stakeholders to gather requirements and translate them into data solutions.
  • Support the design and development of scalable data models and data structures for reporting, analytics, and integrations.
  • Collaborate with data engineers and application teams to define and validate data transformation rules.
  • Test and validate REST APIs, integrations, and data flows between business applications and data platforms.
  • Perform data quality, reconciliation, and validation activities to ensure accuracy and completeness of information.
  • Develop and execute test cases for data mappings, APIs, and end-to-end integration processes.
  • Document data models, mappings, integration requirements, and technical processes.
  • Participate in Agile delivery activities, including testing, defect resolution, and release validation.
  • Help identify opportunities to improve data usability, consistency, and operational efficiency across the organization.

What You Bring

  • 3-5 years of experience in data analysis, business systems analysis, data integration, or a related technology role.
  • Strong SQL skills with experience querying and analyzing relational data.
  • Experience working with enterprise applications such as Salesforce, Dayforce, Greenhouse, or similar CRM, ATS, HRIS, or SaaS platforms.
  • Knowledge of relational data modelling concepts and data integration principles.
  • Experience working with and testing REST APIs, including JSON and API testing tools such as Postman.
  • Strong experience in data validation, reconciliation, and data quality analysis.
  • Excellent analytical, problem-solving, and troubleshooting skills.
  • Ability to document requirements, data mappings, testing activities, and technical processes.
  • Strong communication and stakeholder management skills, with the ability to work across technical and non-technical teams.
  • Familiarity with Agile delivery practices and software development lifecycles.
  • Experience with Power BI or other reporting and analytics platforms.
  • Experience with Python or another scripting language.
  • Exposure to cloud-based data platforms, data warehouses, or modern data technologies.
  • Experience working with HR, recruiting, CRM, finance, or other enterprise business data.
  • Financial services or other regulated industry experience.

The starting salary for this position is $110,000 - $130,000. The starting salary provided reflects the base salary for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation of this position. Further questions may be directed to the HR team during the interview process.

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