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Confidential Data Jobs (NOW HIRING)

DarkStar Intelligence LLC

FOIA Redaction Analyst

Mclean, VA · On-site

$100K - $130K/yr

This role is responsible for reviewing and redacting personally identifiable information, confidential data, and classified information from sensitive documents in accordance with FOIA, the Privacy ...

Newrez

Senior Data Scientist

Coppell, TX

High degree of professional maturity, integrity, ability to maintain confidential data and information. * High degree of business acumen; strong technical aptitude. Work Environment and Physical ...

TalenTECH LLC

RPG Programmer

Grand Rapids, MI · On-site

Ability to use discretion when dealing with sensitive or confidential data Additional Information All your information will be kept confidential according to EEO guidelines.

FBR & Co.

Administrative Assistant

Arlington, VA · On-site

$20.75 - $28/hr

They will handle confidential data; assist with compliance and operational requirements; and interact with high-level executives and clients on their behalf. This position is located in Arlington ...

Texas State Government

TDI-Data Analyst II

Austin, TX · On-site

Record keeping, including security procedures for handling, protecting, and distributing confidential data. This position requires demonstrated skill in: Problem solving and critical thinking. Using ...

Newrez

AI Data Engineer

Coppell, TX · On-site

$105K - $126K/yr

High degree of professional maturity, integrity, ability to maintain confidential data and information. * High degree of business acumen; strong technical aptitude. Work Environment and Physical ...

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Confidential Data information

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 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.

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
What job categories do people searching Confidential Data jobs look for? The top searched job categories for Confidential Data jobs are:
Confidential Data jobs near you
Infographic showing various Confidential Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.
Data Governance and Analysis Expert

Data Governance and Analysis Expert

Cardinal Integrated

Raritan, NJ

Other

Posted 3 days ago

Job description

Data Governance and Analysis Expert

Location: Raritan NJ Rate: 80/hr. W2 (only W2 hires) Duration: long term (end of the year with possibility for 2024 as well)

Organizations have realized that traditional data governance methods are no longer effective and are actively seeking to identify and implement automated processes and technology solutions to inform and manage data governance. For successful data governance, process and technology need to work together. This Data Governance and Analysis Expert will be accountable to help develop the Data Analysis capabilities of the client's Data Governance and Management program, working to establish and promote intelligent data and analytics governance policies, standards, processes, and technologies to meet overall business needs.

Key Responsibilities:
  • Leverage data governance, search, and classification tools, including Microsoft Purview and NetApp Cloud Data Sense, to inventory and analyze the content and usage across large data repositories
  • Leverage data governance, search, and classification tools to locate private and confidential data and ensure that it is appropriately protected
  • Leverage data governance, search, and classification tools to apply keywords and machine learning to classify data, and identify data that has Record Retention, Legal Hold and other regulatory requirements
  • Help to develop & maintain an inventory of the client information and storage services, including authoritative systems and service owners
  • Drive data analysis initiatives and contribute to the establishment of a Data Governance Program
  • Partner with Business, Legal, Privacy, RIM, and IT Stakeholders to develop Data Analysis Approaches and a roadmap for implementing them
  • Develop dashboards, Power BI reports and other data visualization tools to help key stakeholders to understand complex data analyses and make informed decisions.
  • Facilitate bi-directional communication of strategies, priorities, and issues with data governance partners
  • Define the governance framework to improve data insight through change management to modify organizational behavior, policies and standards, principles, governance metrics, business processes, related tools, and data architecture
  • Facilitate the development and implementation of data storage classifications, approved storage platforms, data retention best practices, evaluation of new storage options and configuration standards
  • Support the evaluation, selection and implementation of tools and technologies that enable improved understanding of data, users' data usage, and allow for enhanced and automated data governance processes
  • Work with key stakeholder groups to collect search and categorization criteria, such as keywords, data types, created dates, modified dates, etc., and then determine how these can be leveraged within search and classification tools and technologies to appropriately classify data and disposition it appropriately
  • Use these tools and technologies to analyze large segments of aggregated data and produce clear data stories with actionable items
Qualifications
  • A minimum of 5 years of overall professional IT experience is required
  • 3 years demonstrable experience in data analysis required
  • Experience with data governance, search and classification tools especially Microsoft Purview or NetApp Cloud Data, but also Amazon Comprehend, Congruity 360, Spirion, AdLib, iMedical, MarkLogic, etc. preferred
  • Knowledge of industry leading data quality and data protection management practices
  • Proven experience in business and technology issues related to management of enterprise information assets and approaches related to data protection
  • Experience working with very large data sets
  • Shown consulting skills, with organizational change concepts and strategies, including communication, culture change, and performance measurement system design
  • Knowledge of data architecture and data related technology solutions
  • Internally and externally recognized subject matter expert who successfully influences the way things are done
  • Strong communication (oral, business writing, presenting, listening) and organizational skills
  • Strong end-user focus and service orientation skills
  • Ability to navigate and produce results in a global organization

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