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Data Privacy Analyst Jobs in California (NOW HIRING)

... analytical, and negotiation skills, with the ability to translate complex legal requirements into practical guidance for stakeholders. Demonstrated ability to advise on HIPAA and health data privacy ...

... analytical, and negotiation skills, with the ability to translate complex legal requirements into practical guidance for stakeholders. Demonstrated ability to advise on HIPAA and health data privacy ...

Familiarity with data privacy laws such as FERPA, GDPR, or other relevant regulations. Core ... analytical skills Strong written, verbal and interpersonal communication skills Ability to work ...

Data Analyst - Workplace Experience We entertain millions of people across the globe with the most ... Understanding of network and data privacy requirements with knowledge of integrity and security ...

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... Familiarity with data privacy laws such as FERPA, GDPR, or other relevant regulations. Core ...

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in ... Familiarity with data privacy laws such as FERPA, GDPR, or other relevant regulations. Core ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... Familiarity with data privacy laws such as FERPA, GDPR, or other relevant regulations. Core ...

Data Governance Analyst Commute into both Oakland and San Ramon . This will be a hybrid onsite ... Collaborate with Data Stewards, Privacy, IRG, Support IT SME and Legal teams to ensure personal ...

Showing results 21-40

Data Privacy Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data privacy analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data privacy analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data privacy analyst?

A Data Privacy Analyst is a professional responsible for ensuring that an organization's data handling practices comply with privacy laws and regulations. They assess data privacy risks, implement policies, and monitor compliance to protect sensitive information from unauthorized access or breaches. Data Privacy Analysts also educate staff on best practices and may conduct audits or risk assessments to identify areas of improvement. Their role is crucial in industries that handle personal or confidential data, such as healthcare, finance, and technology.

What are some common challenges faced by data privacy analysts when implementing data protection policies?

Data Privacy Analysts often encounter challenges such as navigating complex regulatory requirements, aligning internal policies with evolving laws like GDPR or CCPA, and ensuring company-wide compliance. Another frequent hurdle is fostering collaboration between technical teams and non-technical stakeholders to embed privacy measures into business processes. Balancing the need for data accessibility with stringent privacy controls can also be demanding, requiring strong communication and project management skills.

What is the difference between Data Privacy Analyst vs Data Security Analyst?

AspectData Privacy AnalystData Security Analyst
CertificationsCertified Information Privacy Professional (CIPP), GDPR certificationsCertified Information Systems Security Professional (CISSP), CompTIA Security+
Work EnvironmentLegal, compliance, and policy-focused teamsIT security teams, technical environments
Industry UsageHealthcare, finance, legal, and tech sectorsIT, cybersecurity firms, corporate IT departments
Primary FocusProtecting personal data, ensuring privacy complianceProtecting data from breaches, securing networks

While both roles focus on data protection, a Data Privacy Analyst emphasizes compliance with privacy laws and policies, whereas a Data Security Analyst concentrates on technical safeguards to prevent data breaches. Understanding these differences helps organizations assign the right responsibilities and find suitable candidates.

What are the key skills and qualifications needed to thrive as a data privacy analyst, and why are they important?

To thrive as a Data Privacy Analyst, you need a solid understanding of data protection laws (such as GDPR and CCPA), risk assessment, and information security, usually supported by a relevant degree or certification. Familiarity with privacy management platforms, data mapping tools, and compliance frameworks like ISO/IEC 27001 is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret regulations and collaborate with various teams. These skills are vital to ensure organizations safeguard sensitive information, maintain regulatory compliance, and build trust with stakeholders.
What are popular job titles related to Data Privacy Analyst jobs in California? For Data Privacy Analyst jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Privacy Analyst jobs? Cities in California with the most Data Privacy Analyst job openings:
Infographic showing various Data Privacy Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Data Analyst - Data Governance & Lineage

Pivot Point Solutions

Oakland, CA

$130K - $180K/yr

Full-time

Posted yesterday

New


Job description

Pivot Point Solutions

Pivot Point Solutions is a California-based technology consulting firm that specializes in delivering IT solutions and support for the construction and utility industries. We partner with organizations across the state to provide reliable technology services that improve operational efficiency, enhance project delivery, and support critical business systems.

Our team understands the unique technology challenges facing construction and utility organizations, from field operations and infrastructure projects to enterprise applications and cybersecurity. By combining industry expertise with responsive service, we help clients modernize their technology environments, streamline workflows, and maintain secure, reliable IT systems that support long-term growth.

Job Overview

Title: Senior Data Analyst - Data Governance & Lineage

Sector: Information Technology

Seniority: Senior Level

Location: Oakland, CA (Hybrid)

Job Type: Contract

Contract Length: 12+ Months

Compensation: $130k-180k

As a Senior Data Analyst specializing in Data Governance and Data Lineage, you will support enterprise initiatives focused on managing the lifecycle, governance, and disposition of sensitive business data. Working with technical teams, business stakeholders, and data governance leaders, you'll analyze complex data ecosystems, document data lineage, identify system dependencies, and ensure data management practices align with regulatory and organizational standards.

This role is ideal for someone with strong SQL, metadata management, and data governance experience who enjoys solving complex data challenges while supporting enterprise modernization initiatives.

Your Day-to-Day Activities
  • Analyze enterprise applications to identify upstream and downstream data dependencies

  • Document data lineage, system interfaces, and data flow mappings across complex environments

  • Collaborate with business owners, technical teams, privacy specialists, and data stewards to support data governance initiatives

  • Evaluate system integrations and assess the impact of data retention, migration, and disposition activities

  • Utilize metadata management and data lineage tools to validate data movement and business rules

  • Support system retirement, migration, and data disposition planning efforts

  • Participate in architecture reviews, technical design discussions, and solution planning sessions

  • Develop and maintain technical documentation including lineage diagrams, interface inventories, and dependency mappings

  • Troubleshoot data integration and lineage issues while working closely with application support teams

  • Support compliance initiatives related to data privacy, governance, and regulatory requirements

  • Assist with data quality analysis and recommend improvements to enterprise data management processes

  • Communicate technical findings and recommendations to both technical and non-technical stakeholders

The Job Requirements
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent professional experience)

  • 5+ years of experience in data analysis, data integration, database administration, or enterprise data management

  • Strong understanding of relational databases and data modeling concepts

  • Experience documenting data lineage, system dependencies, and data flows

  • Proficiency writing SQL queries and working with Oracle, SQL Server, MySQL, or similar relational databases

  • Experience with metadata management and data lineage platforms

  • Strong analytical, organizational, and problem-solving skills

  • Excellent communication skills with the ability to explain technical concepts to business stakeholders

You'll Stand Out If You Have
  • Experience with Informatica, Collibra, Alation, or similar data governance platforms

  • Experience supporting enterprise data governance or data privacy initiatives

  • Knowledge of CCPA, CPRA, GDPR, or related privacy regulations

  • Experience with ETL processes, data integration, and system migration projects

  • Experience working with AWS, Azure, or Google Cloud data platforms

  • Experience supporting application decommissioning or data disposition initiatives

  • Project management or business analysis experience

  • Knowledge of data quality frameworks and metadata management best practices