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Confidential Data Jobs (NOW HIRING)

Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and ...

Data Analyst

Boston, MA · On-site

$32 - $42/mo

Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and ...

Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and ...

Processing confidential data and information according to guidelines. * Helping develop reports and analysis. * Managing and designing the reporting environment, including data sources, security, and ...

Sr. Data Analyst

Manhattan, NY

$94.80K - $119.60K/yr

Processes confidential data and information according to industry standard guidelines * Supports initiatives for data integrity and normalization. BASIC QUALIFICATIONS * Bachelor's degree in a ...

Ability to handle and interact with confidential data securely and compliantly. * Proficiency in software such as internet browsers, Adobe, Microsoft Office Suite (Word, Excel, PowerPoint, Outlook ...

Process confidential data and information. * Create presentations and reports based on recommendations and findings. * Bring a team-oriented and positive attitude to our Los Angeles office.

Process confidential data and information. * Create presentations and reports based on recommendations and findings. * Bring a team-oriented and positive attitude to our Los Angeles office.

Process confidential data and information. * Create presentations and reports based on recommendations and findings. * Bring a team-oriented and positive attitude to our Los Angeles office.

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Showing results 1-20

Confidential Data information

What are the key skills and qualifications needed to thrive as a Confidential Data Analyst, and why are they important?

To thrive as a Confidential Data Analyst, you need strong analytical abilities, attention to detail, and a thorough understanding of data privacy laws, typically supported by a degree in information security, data science, or a related field. Familiarity with data analysis tools (like SQL, Python, or R), encryption software, and compliance frameworks such as GDPR or HIPAA is essential. Discretion, integrity, and effective communication are crucial soft skills for managing sensitive information and collaborating with stakeholders. These skills ensure the secure handling of confidential data, regulatory compliance, and trustworthy organizational data practices.

How does a Confidential Data Analyst typically collaborate with other departments to ensure data security and compliance?

Confidential Data Analysts work closely with IT, legal, and compliance teams to implement and monitor data protection policies. They facilitate secure data sharing by ensuring all protocols and regulatory requirements are consistently followed across departments. Regular meetings and cross-functional training sessions are common, allowing for updates on security measures and addressing any vulnerabilities. This collaborative approach helps maintain a culture of security awareness within the organization.

What are confidential data jobs?

Confidential data jobs are roles that involve handling sensitive or private information, such as personal identification details, financial records, or proprietary business data. These positions require a high degree of trust and often involve implementing and following strict security protocols to ensure that the information remains protected from unauthorized access or disclosure. Common job titles in this field include data protection officer, compliance analyst, and information security specialist. Individuals in these roles must be knowledgeable about data privacy laws and best practices to maintain the integrity and confidentiality of sensitive data.

What is the difference between Confidential Data vs Data Analyst?

AspectConfidential DataData Analyst
Required CredentialsData security certifications, knowledge of privacy lawsBachelor's degree in data science, statistics, or related field
Work EnvironmentSecure, controlled access environmentsOffice or remote, analyzing datasets
Industry UsageHandled across finance, healthcare, governmentUsed in various industries for data interpretation
Search & Comparison IntentUnderstanding data security rolesUnderstanding data analysis roles

Confidential Data refers to sensitive information requiring strict security measures, while Data Analysts focus on interpreting data to support decision-making. Both roles often collaborate but differ in their primary focus: security versus analysis.

More about Confidential Data jobs
Infographic showing various Confidential Data job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 60% Full Time, 17% Part Time, 18% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Data Annotator / Data Labeling Specialist

Data Annotator / Data Labeling Specialist

Tata Consultancy Services

Charlotte, NC • On-site

Full-time

Posted 16 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

153rd of 203 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Data Annotator / Data Labeling Specialist to accurately label various forms of data according to project-specific guidelines. The role involves performing quality checks, collaborating with engineers, and ensuring compliance with privacy and security policies.
Responsibilities:
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with:
• o Image annotation
• o NLP data labeling
• o Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 10+ years’ experience
• Data Annotator / Data Labeling Specialist, Agile concepts, CI/CD
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with image annotation
• Familiarity with NLP data labeling
• Familiarity with data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US