2

Privacy Analyst Remote Jobs in Raleigh, NC (NOW HIRING)

100% remote. Our direct client has a new opening for a Lead Security Analyst 141809 This job is 14 ... Expertise working with Security and Privacy Controls for Information Systems and Organizations as ...

Embed healthcare-grade data trust: definitions/lineage, access controls, privacy-by-design (PHI/PII ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Sr. Director, Compliance & Ethics - Pharmacy

Cary, NC · On-site +1

$116K - $156K/yr

Remote Industry Experience: Pharmacy background (Required) The Senior Director, Compliance & Ethics ... Analyze problems from multiple perspectives, understanding legal, privacy, risk, and operational ...

Sr. Director, Compliance & Ethics - Pharmacy

Cary, NC · On-site +1

$116K - $156K/yr

Remote Industry Experience: Pharmacy background (Required) The Senior Director, Compliance & Ethics ... Analyze problems from multiple perspectives, understanding legal, privacy, risk, and operational ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

next page

Showing results 1-20

Privacy Analyst Remote information

See Raleigh, NC salary details

$78.7K

$95.1K

$126.4K

How much do privacy analyst remote jobs pay per year?

As of Jul 6, 2026, the average yearly pay for privacy analyst remote in Raleigh, NC is $95,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What are the main challenges a Privacy Analyst faces when working remotely, and how can they be managed?

As a remote Privacy Analyst, one of the main challenges is ensuring seamless communication and collaboration with legal, IT, and compliance teams, especially when handling sensitive data and compliance documentation. It's important to maintain strong digital organization skills and use secure collaboration tools to manage projects and respond to incidents promptly. Regular virtual meetings and clear documentation practices can help bridge gaps caused by remote work and maintain alignment across stakeholders. Additionally, staying up-to-date with evolving privacy regulations can be more challenging remotely, so proactively participating in online training and industry forums is beneficial.

What is the difference between Privacy Analyst Remote vs Data Privacy Specialist?

AspectPrivacy Analyst RemoteData Privacy Specialist
Required CredentialsCertifications like CIPP, CIPM often preferredSimilar certifications, often the same
Work EnvironmentRemote, corporate or consulting settingsRemote or on-site, corporate or legal environments
Employer & Industry UsageTech, healthcare, finance, consultingLegal firms, corporations, government agencies
Common Search & ComparisonYesYes

Privacy Analyst Remote and Data Privacy Specialist roles share similar credentials, work environments, and industry usage. Both focus on data protection, compliance, and privacy policies, often requiring certifications like CIPP or CIPM. While Privacy Analysts may focus more on monitoring and assessing privacy risks, Data Privacy Specialists often handle policy development and legal compliance. They are interchangeable in many organizations, with the main difference being the specific job focus.

What are the key skills and qualifications needed to thrive as a Privacy Analyst (Remote), and why are they important?

To thrive as a Privacy Analyst (Remote), you need a solid understanding of data privacy laws, risk assessment, and compliance frameworks, typically supported by a degree in information security, law, or a related field. Familiarity with privacy management tools, data mapping software, and certifications such as CIPP or CIPM are commonly required. Strong analytical thinking, communication, and attention to detail help you interpret regulations and advise stakeholders effectively. These skills ensure organizations remain compliant, minimize data risks, and protect sensitive information in a dynamic digital landscape.

What does a Privacy Analyst do when working remotely?

A remote Privacy Analyst is responsible for ensuring that an organization’s data handling and privacy practices comply with relevant laws and regulations, such as GDPR or CCPA. They analyze data flows, assess privacy risks, and help implement policies to protect sensitive information. Working remotely, they conduct privacy impact assessments, respond to data subject requests, and collaborate with teams via digital communication tools. Their role is crucial in maintaining trust with clients and stakeholders by safeguarding personal data.
What are popular job titles related to Privacy Analyst Remote jobs in Raleigh, NC? For Privacy Analyst Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Privacy Analyst Remote jobs in Raleigh, NC look for? The top searched job categories for Privacy Analyst Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Privacy Analyst Remote jobs? Cities near Raleigh, NC with the most Privacy Analyst Remote job openings:
Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Data Analytics Business Analyst (Full-Time Remote, North Carolina)

Alliance

Morrisville, NC • On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
  • Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
  • Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
  • Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
  • Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
  • Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
  • Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics

Translate Requirements into Analytical Specifications
  • Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
  • Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
  • Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions

Plan and Execute Testing of Analytical Solutions
  • Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
  • Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
  • Verify performance (e.g., query response time, model runtime) against agreed upon thresholds

Support Implementation and Ongoing Operations
  • Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
  • Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
  • Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement

Maintain Documentation and Knowledge Base
  • Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
  • Author and refresh end user guides, technical "how to" documents, and metadata catalogs in line with departmental standards

Communication and Collaboration
  • Translate complex analytical concepts into clear language for both technical and non technical audiences
  • Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
  • Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance

Continuous Improvement
  • Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
  • Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
  • Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
  • SQL (preferably T-SQL)
  • Communication skills
  • Data Visualization Tools
  • Software Development Life Cycle (SDLC)
  • Data Governance
  • Documentation Tools and Platforms

Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long and Short-Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.