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Remote Data Analyst Secret Clearance Jobs in Puerto Rico

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 ...

Collins Aerospace

Scrum Master (Puerto Rico)

Santa Isabel, PR · On-site +1

$46.50 - $62/hr

Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Security Clearance: None/Not Required At RTX, the world's largest aerospace and defense company ...

Deloitte

Epic Denials Manager

San Juan, PR · Remote

Experience analyzing denials workflows, claim issues, or operational data The wage range for this ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Kelly Services

Senior Validations Engineer

Juncos, PR · On-site +1

$45/hr

Administrative shift (support a 24/7 manufacturing operations, some remote work is possible) Why ... Proficient in data analysis and strong technical writing skills in English and Spanish. The Senior ...

Tetra Tech

Urban Planning Specialist - Ponce, PR

Ponce, PR · On-site +1

$65K - $85K/yr

Collect, organize, and analyze planning, demographic, property, and community data. * Coordinate ... This is a remote position with intermittent travel to participate in community meetings or outreach ...

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Remote Data Analyst Secret Clearance information

What is a remote data analyst with secret clearance?

A Remote Data Analyst with Secret Clearance is a professional who analyzes and interprets data for organizations, often within the government or defense sector, while working from a remote location. The 'Secret Clearance' designation means they have passed a background check and are authorized to access classified information at the Secret level. Their responsibilities include collecting, cleaning, and interpreting complex datasets, ensuring data security and privacy, and generating reports to support decision-making. This role requires strong analytical skills, experience with data tools, and compliance with strict security protocols. Remote Data Analysts with Secret Clearance play a crucial role in handling sensitive data while maintaining flexibility in their work location.

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

To thrive as a Remote Data Analyst with Secret Clearance, you need strong analytical skills, experience with data modeling and statistical analysis, and the ability to obtain or maintain a U.S. Secret security clearance—typically supported by a relevant degree in statistics, mathematics, or computer science. Familiarity with data analytics tools such as SQL, Python, R, and visualization platforms like Tableau, as well as secure data handling systems, is essential. Attention to detail, problem-solving abilities, and strong communication skills are vital soft skills for this role. These competencies ensure accurate data interpretation, secure information management, and effective collaboration in sensitive, mission-critical environments.

How does working remotely as a data analyst with secret clearance impact collaboration and data security practices?

Remote Data Analysts with Secret Clearance often collaborate with cross-functional teams using secure communication tools and adhere to strict data handling protocols. While remote work offers flexibility, it requires a heightened awareness of cybersecurity measures, such as using encrypted connections and secure workspaces. You'll frequently participate in virtual meetings, share findings through approved channels, and coordinate with IT and security teams to ensure all sensitive data remains protected. Maintaining open communication and following established procedures are key to successful teamwork and compliance.

What is the difference between Remote Data Analyst Secret Clearance vs Remote Data Analyst Top Secret Clearance?

AspectRemote Data Analyst Secret ClearanceRemote Data Analyst Top Secret Clearance
Required CredentialsData analysis skills, Secret clearanceData analysis skills, Top Secret clearance
Work EnvironmentGovernment agencies, secure facilities, remote optionsGovernment agencies, secure facilities, remote options
Employer & IndustryDefense, intelligence, federal agenciesDefense, intelligence, federal agencies
Search & Comparison IntentUnderstanding clearance levels for data analysis rolesUnderstanding higher clearance requirements for data analysis roles

The main difference between a Remote Data Analyst Secret Clearance and a Remote Data Analyst Top Secret Clearance lies in the level of security clearance required. Top Secret clearance involves more rigorous background checks and access to more sensitive information. Both roles typically work in government or defense sectors, with similar work environments and employer types. Candidates should consider the clearance level needed based on the sensitivity of the data they will handle.

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

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

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

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

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

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

Remote Data Analyst Secret Clearance jobs near you

Linguist III

Infotech Sourcing

PR • Remote

Full-time

Re-posted 6 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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