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Remote Data Analyst Spanish Jobs in Puerto Rico (NOW HIRING)

Infotech Sourcing

Linguist III

PR · Remote

... Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic analyses on ... for data analysis are a plus. Must be able to independently work through complex requests and ...

ICF

Project Manager - (Puerto Rico)

San Juan, PR · On-site +1

... geospatial data, algorithms, and infrastructure. Working at ICF means applying a passion for ... Remote role based in Puerto Rico; Must be able to travel to visit clients, stakeholders and ...

Danaher

Field Application Specialist

Caguas, PR · On-site +1

... fully remote role . In this role, you will have the opportunity to: - Providing technical and ... Flow analysis Software for high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other ...

Weil Group, Inc.

Reliability Engineer

Bayamon, PR · On-site +1

$92K - $116K/yr

... analysis, data-driven decision-making, and continuous improvement. Key areas of focus include ... communication in Spanish; working proficiency in English for technical documentation. • ...

U.S. Courts

$89K - $106K/yr

... analyzing relevant data for staffing needs and resource allocation purposes, monitoring and ... Spanish fluency is highly preferred. Education Applicants must be a high school graduate and have ...

Huntington

EDW Application Architect, Sr

Florida, PR · On-site +1

Lead the architectural design and development of Enterprise Data Warehouse applications, ensuring ... Highly motivated with strong organizational, analytical, decision making, and problem-solving ...

Deloitte

Epic Denials Management Operator

San Juan, PR · Remote

$17.75 - $23.50/hr

Experience analyzing billing workflows, claim issues, or operational data The wage range for this ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

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Remote Data Analyst Spanish information

What does a remote data analyst Spanish do?

A Remote Data Analyst Spanish is responsible for collecting, analyzing, and interpreting data for organizations, with a particular focus on Spanish-language data sets or clients. They use statistical tools and data visualization techniques to identify trends and provide actionable insights. Working remotely, they collaborate with teams to support business decisions, create reports, and ensure data accuracy, often leveraging their Spanish language skills for communication and analysis.

What is the difference between Remote Data Analyst Spanish vs Remote Data Analyst French?

AspectRemote Data Analyst SpanishRemote Data Analyst French
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in Spanish; basic data analysis toolsBachelor's in Data Science, Statistics, or related field; proficiency in French; basic data analysis tools
Work environmentRemote, often with international companies serving Spanish-speaking marketsRemote, often with international companies serving French-speaking markets
Employer usageCompanies targeting Spanish-speaking clients or marketsCompanies targeting French-speaking clients or markets
Search intentLooking for Spanish-language data analysis rolesLooking for French-language data analysis roles

The main difference between Remote Data Analyst Spanish and Remote Data Analyst French lies in language proficiency and target markets. Both roles require similar technical skills and certifications but focus on serving different language-speaking audiences, making them distinct in language requirements and regional client base.

How does being a remote data analyst Spanish impact collaboration with international teams?

As a Remote Data Analyst Spanish, you will frequently collaborate with colleagues across different countries and time zones, often acting as a language and cultural bridge. This requires strong communication skills, flexibility in scheduling virtual meetings, and the ability to work independently while staying connected with the team. You'll likely use collaborative tools like Slack, Zoom, and shared dashboards to coordinate projects, provide data insights, and ensure that Spanish-language data sets are accurately interpreted and reported. Successfully navigating these dynamics can open up further opportunities for advancement within international analytics teams.

What are the key skills and qualifications needed to thrive as a remote data analyst Spanish?

To thrive as a Remote Data Analyst (Spanish), you need strong analytical and statistical skills, proficiency in data visualization, and fluency in both Spanish and English, typically supported by a degree in data science, statistics, or a related field. Familiarity with technical tools such as SQL, Python or R, and platforms like Tableau or Power BI is often required, along with experience using remote collaboration systems. Exceptional attention to detail, problem-solving abilities, and effective communication—especially cross-culturally—are valuable soft skills for this role. These qualifications enable accurate data-driven insights and seamless teamwork across diverse, often international, environments.

What are popular job titles related to Remote Data Analyst Spanish jobs in Puerto Rico?

For Remote Data Analyst Spanish jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Spanish jobs in Puerto Rico look for?

The top searched job categories for Remote Data Analyst Spanish jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Remote Data Analyst Spanish jobs?

Cities in Puerto Rico with the most Remote Data Analyst Spanish job openings:

Remote Data Analyst Spanish jobs near you
Infographic showing various Remote Data Analyst Spanish job openings in Puerto Rico as of July 2026, with employment types broken down into 16% Internship, 64% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Linguist III

Infotech Sourcing

PR • Remote

Full-time

Re-posted 14 days ago

Job description

Job Title: Infrastructure Engineering - Linguist III
Location: US - NY - Remote
Duration:8 months
Job Title: Linguist lII (FAIR)
Main duties:
Perform linguistic analyses on large datasets.
Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
Reach out to and collaborate with native speakers in various languages.
Communicate results of linguistic analyses to engineers and research scientists.
Skills:
Must have strong written and spoken communication skills, especially business and research communication.
Must be a native speaker of a non-English language (preferably Hindi) with a high level of proficiency in another Indo-Aryan or South Dravidian language, plus broad knowledge of other languages in either of those two groups.
Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
Must be able to independently work through complex requests and perform under pressure.
Strong ability to work independently, prioritize, plan, and track work, as well as report progress
education or training in the basics of project management is a plus
self-motivation is a must
Working knowledge of international language-classification standards is valued.
Education:
Graduate degree in Linguistics or related field is a must; PhD is a plus
a background or specialization in corpus linguistics is a plus
experience with field work is a plus
a graduate degree in Literature or English is not an appropriate substitution
degree in Computer Science with a specialization in NLP is not an appropriate substitution
Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.
Must have some experience with applying basic Natural Language Processing techniques.
Experience
Years of experience: 0-3
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists
Experience contributing to research papers
Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)

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