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Language Data Analyst Jobs in Boston, MA (NOW HIRING)

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support. * Partner with ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support. * Partner with ...

DraftKings

Analyst I, Reach and Partnerships

Boston, MA · On-site

... data storytelling. * Explore and apply emerging technologies, including large language model-powered tools, to improve analytical workflows and enable smarter, faster decision-making. What you'll ...

Northern Bank

Data Governance Analyst

Woburn, MA · On-site

$75K - $100K/yr

Ability to translate data-related concepts into clear, actionable language for both technical and ... Knowledge of BI and analytics environments such as Power BI, SQL-based reporting, or data ...

Northern Bank

Data Governance Analyst

Woburn, MA · On-site

$75K - $100K/yr

Ability to translate data-related concepts into clear, actionable language for both technical and ... Knowledge of BI and analytics environments such as Power BI, SQL-based reporting, or data ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... Strong SQL skills and proficiency in at least one programming language (Python preferred)

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... Strong SQL skills and proficiency in at least one programming language (Python preferred)

Tiger Analytics Inc.

Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... Strong SQL skills and proficiency in at least one programming language (Python preferred)

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

... data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time ...

Athari

Data Scientist

Lexington, MA · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

Manulife

Data Scientist

Boston, MA · Hybrid

Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and makingappropriate recommendationsto business partners. * Work ...

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Showing results 41-60

All JobsLanguage Data Analyst JobsLanguage Data Analyst Jobs in Boston, MA

Language Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do language data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for language data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Language Data Analyst jobs in Boston, MA?

For Language Data Analyst jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Language Data Analyst jobs in Boston, MA look for?

The top searched job categories for Language Data Analyst jobs in Boston, MA are:

Language Data Analyst jobs near you
Infographic showing various Language Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Senior Product Data Analyst

Azenta

Burlington, MA • On-site

Full-time

Re-posted 15 days ago

Azenta Life Sciences rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

64th of 120 rated laboratories

Job description

Azenta Inc.
At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.
All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity
Job Title
Senior Product Data Analyst
Job Description
We are hiring a Senior AI Product Data Analyst to drive actionable insights, shape product strategy, and accelerate the adoption of AI-enabled decision making across digital products and customer experiences.
As a core member of the Product organization, this role will partner with Product Management, UX, Engineering, Data, and Business stakeholders to define success metrics, measure user behavior, evaluate AI-enabled features, and uncover opportunities where analytics, machine learning, automation, and generative AI can deliver measurable business value. This individual will combine strong analytical expertise with modern AI capabilities to transform data into insights, predictions, recommendations, and intelligent product improvements.
This role is onsite 4 days/week in Burlington, MA
Key Responsibilities
  • Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, customer experience, and business value.
  • Conduct deep-dive analyses on product performance, user behavior, funnel conversion, feature usage, and digital journey effectiveness.
  • Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation, and Generative AI to improve digital products, customer experiences, insight generation, and operational efficiency.
  • Design and measure AI-specific KPIs including adoption, utilization, accuracy, relevance, usefulness, productivity gains, customer satisfaction, user trust, and business impact.
  • Develop predictive and prescriptive analytical models to support product prioritization, customer behavior forecasting, segmentation, roadmap planning, and opportunity scoring.
  • Analyze results from A/B and multivariate tests to evaluate product experiments, AI-enabled features, recommendation logic, and performance impact.
  • Build and maintain self-serve dashboards in Power BI or Tableau to support product transparency, executive visibility, and data-driven decision-making.
  • Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support.
  • Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs, feature performance, and AI-driven recommendations.
  • Communicate complex findings through visual storytelling, concise executive summaries, and product recommendations that translate data into action.
  • Support data definition, documentation, metadata alignment, and analytics governance across Product, UX, Engineering, and Business stakeholders.
  • Promote responsible AI practices, including explainability, human oversight, data privacy, security, bias awareness, governance, and validation of AI-generated outputs.
  • Build reusable analytics assets, prompts, dashboards, measurement frameworks, and documentation that help teams use AI responsibly and consistently.

Required Qualifications
  • 5+ years in data, product, business analytics, or digital analytics roles with measurable impact on digital product performance.
  • Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and scalable analytical workflows.
  • Strong skills in Power BI, Tableau, or similar tools for dashboard creation, reporting, measurement frameworks, and executive-ready insights.
  • Experience conducting behavioral, product, funnel, retention, cohort, journey, and experimentation analysis using large-scale data.
  • Experience applying machine learning, predictive analytics, advanced statistical methods, or AI-assisted analytics to solve business or product challenges.
  • Working knowledge of machine learning concepts, model evaluation techniques, predictive modeling approaches, and responsible use of AI-generated insights.
  • Ability to critically evaluate model outputs and AI-generated recommendations, validate results against source data, and clearly communicate assumptions, limitations, and business implications.
  • Excellent communication and data storytelling skills, with experience presenting to product, business, technical, and executive stakeholders.
  • Experience defining metrics, synthesizing complex data sources, and delivering insight in agile, cross-functional teams.
  • Familiarity with data governance, data privacy, security controls, metadata management, and responsible AI principles.

Preferred Qualifications
  • Experience designing analytics solutions for AI-enabled products, digital platforms, intelligent automation, or customer-facing digital experiences.
  • Experience using Generative AI or LLM-based tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Claude, or equivalent technologies to support analytics, insight generation, automation, or product discovery.
  • Familiarity with prompt engineering, AI-assisted workflow design, natural-language analytics, or automated insight-generation approaches.
  • Exposure to machine learning use cases such as forecasting, recommendation engines, anomaly detection, churn/retention modeling, personalization, clustering, propensity scoring, or prioritization models.
  • Experience measuring and optimizing AI feature adoption, recommendation quality, conversational AI performance, copilots, personalization capabilities, or model usefulness.
  • Experience with Azure AI services, Azure OpenAI, Databricks, Snowflake, Microsoft Fabric, or other cloud-scale analytics environments.
  • Knowledge of model monitoring, model lifecycle management, experimentation frameworks, explainability, bias mitigation, and human-in-the-loop validation.
  • Experience in enterprise SaaS, B2B, digital commerce, life sciences, healthcare technology, or regulated environments.
  • Familiarity with experimentation platforms such as Adobe Target, Optimizely, or similar tools.
  • Exposure to compliance frameworks such as GDPR, 21 CFR Part 11, or relevant data governance and privacy standards.

EOE M/F/Disabled/VET
If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance.
Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.
United States Base Compensation: $107,000.00 - $134,000.00
The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

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