A tailored course, built for your situation
Mastering PCI DSS for Data Analysts in High-Compliance Environments
Build audit-ready data controls that position you as the internal authority on secure commercial reporting
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Spending cycles explaining data lineage during audits instead of leading the conversation
Who this is for
Mid-level data analyst in a regulated multinational who quietly owns data integrity for commercial or financial reporting involving cardholder data
Who this is not for
Senior engineers building payment gateways, compliance officers running audits, or developers implementing encryption, this is not for specialists already certified in PCI DSS.
What you walk away with
- Produce data outputs pre-aligned to PCI DSS requirement 3 and 10 without oversight
- Anticipate auditor follow-ups on data retention and logging by having evidence ready
- Become the first internal call when teams question whether a dataset touches cardholder environment
- Document reusable workflows that reduce rework during QSA interviews
- Build credibility as the analyst who 'speaks both data and compliance' fluently
The 12 modules (with all 144 chapters)
Module 1. Understanding PCI DSS Scope in Non-Payment Business Units
Learn how to identify which data flows fall under PCI DSS even when your team isn’t processing payments directly. Focus on downstream use cases in commercial reporting and analytics.
12 chapters in this module
- How PCI DSS applies to data analysts outside payment teams
- Mapping commercial reports to cardholder data environments
- Recognizing indirect system connections that trigger scope
- Documenting data lineage for Requirement 1.1.3
- Differentiating storage from transit in reporting pipelines
- Avoiding scope creep in SAP-based analytics workflows
- When aggregated data still requires PCI controls
- Handling marketing dashboards that include payment trends
- Identifying shadow systems that pull from PCI environments
- Working with legal to define data ownership boundaries
- Building scope boundaries accepted by internal audit
- Updating documentation after system integration changes
Module 2. Data Classification and Handling under PCI DSS
Classify datasets accurately to reduce risk and effort. Know what must be protected, what can be masked, and how to prove it during review.
12 chapters in this module
- Applying PCI DSS Appendix A1 to non-financial datasets
- Identifying CHD in commercial extracts and reporting tables
- Using data tags to automate classification workflows
- Documenting data sensitivity levels for auditor review
- Masking PANs in dashboards without breaking business logic
- Applying truncation rules consistently across systems
- Validating encryption at rest for intermediate data stores
- Handling test environments with synthetic but labeled data
- Logging access to sensitive datasets per Requirement 10
- Auditing data movement between SAP and analytics layers
- Classifying exports shared with external partners
- Updating classification rules after schema changes
Module 3. Secure Data Flows from Source to Reporting
Design secure pipelines that maintain compliance from ingestion to visualization, especially in hybrid on-premise and cloud environments.
12 chapters in this module
- Mapping data flow diagrams for QSA submission
- Documenting encryption in transit between SAP and BI tools
- Validating TLS versions across legacy and modern systems
- Securing ETL jobs that move payment-adjacent data
- Configuring network segmentation for analytics servers
- Applying firewall rules to database access ports
- Auditing user access paths to sensitive reporting layers
- Implementing role-based access in Power BI dashboards
- Logging connection attempts to payment data marts
- Validating automated job credentials against PCI DSS 8.2
- Handling service accounts in secure reporting pipelines
- Updating data flow diagrams after integration changes
Module 4. Access Control and Authentication for Analysts
Enforce strong access policies specific to data analysts who need access to regulated data without full administrative rights.
12 chapters in this module
- Applying PCI DSS Requirement 7 to data analyst roles
- Defining least privilege for reporting and analysis tasks
- Using job function matrices to justify access levels
- Implementing multi-factor authentication for BI platforms
- Reviewing access logs for unusual query patterns
- Handling shared accounts in team-based analytics
- Rotating credentials for automated reporting jobs
- Validating password policies against Requirement 8.2
- Managing access during team onboarding and offboarding
- Auditing access changes after role transitions
- Documenting access reviews for internal auditors
- Integrating access logs with SIEM for correlation
Module 5. Logging and Monitoring Data Access Events
Set up effective logging to meet audit requirements and quickly identify anomalies in how regulated data is queried and used.
12 chapters in this module
- Identifying which data events meet PCI DSS Requirement 10
- Capturing query metadata in database audit logs
- Correlating login events with report generation
- Setting thresholds for abnormal data exports
- Generating alerts for bulk data downloads
- Reviewing logs weekly without compliance fatigue
- Storing logs securely for one year as required
- Encrypting log storage in hybrid environments
- Validating log integrity with periodic checks
- Preparing sample logs for auditor review
- Integrating Power BI audit logs with central SIEM
- Updating monitoring rules after report changes
Module 6. Vulnerability Management in Analytics Systems
Apply vulnerability scanning and patching practices to systems used for reporting on sensitive data, even when they’re not internet-facing.
12 chapters in this module
- Identifying in-scope systems for PCI DSS Requirement 6
- Scheduling scans for internal analytics servers
- Applying critical patches within one month window
- Documenting risk acceptance for legacy SAP modules
- Tracking vulnerabilities in database software versions
- Validating scan coverage across virtualized environments
- Reporting remediation timelines to compliance teams
- Handling third-party software in reporting pipelines
- Reviewing scanner findings for false positives
- Maintaining records of completed remediations
- Coordinating patching with business continuity needs
- Updating vulnerability tracking after system changes
Module 7. Penetration Testing and Data Analyst Support
Support penetration testing efforts by providing accurate documentation and access details without exposing sensitive systems.
12 chapters in this module
- Identifying systems in scope for annual penetration tests
- Providing data flow details to external testers
- Validating tester credentials and authorization
- Monitoring test activity during execution window
- Reviewing findings related to data access controls
- Mapping vulnerabilities to specific analyst workflows
- Prioritizing remediation based on data exposure
- Coordinating fixes with infrastructure teams
- Documenting resolution evidence for assessors
- Updating runbooks after test findings
- Responding to follow-up questions from QSA
- Scheduling retests for critical data interfaces
Module 8. Secure Development Practices for BI Reports
Integrate security checks into the development of dashboards and reports that handle regulated data.
12 chapters in this module
- Applying secure coding principles to SQL queries
- Preventing hardcoded credentials in report scripts
- Validating input sanitization in dynamic reports
- Avoiding SQL injection in user-driven filters
- Reviewing report code before deployment
- Using version control for analytics artifacts
- Conducting peer reviews on sensitive report logic
- Documenting changes for audit trail completeness
- Testing error messages for data leakage
- Implementing automated checks in CI/CD pipelines
- Handling credentials in testing environments
- Updating security controls after report updates
Module 9. Building Audit-Ready Documentation Packages
Create and maintain documentation that passes QSA review and reduces preparation time for future audits.
12 chapters in this module
- Compiling evidence for Requirement 12.5 efficiently
- Organizing network diagrams for assessor review
- Updating responsibility matrices for team changes
- Documenting quarterly access reviews accurately
- Maintaining logs of security policy acknowledgments
- Verifying evidence retention periods across systems
- Using templates to standardize submission packages
- Coordinating input from distributed team members
- Preparing walkthrough materials for virtual audits
- Indexing documentation for quick retrieval
- Handling follow-up requests between cycles
- Updating packages after control changes
Module 10. Communicating PCI DSS Concepts Across Teams
Explain compliance requirements clearly to non-compliance colleagues to gain cooperation and reduce friction.
12 chapters in this module
- Translating PCI DSS controls into business impacts
- Explaining scope boundaries to marketing teams
- Justifying access restrictions to sales leadership
- Training colleagues on secure data handling basics
- Creating FAQs for common compliance questions
- Presenting risk findings without alarmism
- Collaborating with legal on data use policies
- Aligning messaging across regional offices
- Handling pushback on workflow changes
- Building trust through consistent communication
- Measuring understanding across departments
- Updating materials after new guidance
Module 11. Maintaining Compliance During System Changes
Ensure compliance is preserved when upgrading, integrating, or retiring systems that handle regulated data.
12 chapters in this module
- Assessing PCI DSS impact of SAP module updates
- Reviewing change requests for compliance gaps
- Updating data flow diagrams after integration
- Validating security controls in new environments
- Conducting pre-implementation compliance checks
- Coordinating with vendors on secure configurations
- Testing fallback procedures during migration
- Documenting changes for audit trail
- Reviewing post-change logs for anomalies
- Updating runbooks after go-live
- Communicating changes to stakeholders
- Scheduling follow-up reviews after stabilization
Module 12. Driving Continuous Improvement in Data Security
Turn compliance from a periodic task into a continuous practice that enhances both security and credibility.
12 chapters in this module
- Tracking metrics for data security performance
- Identifying opportunities from audit findings
- Implementing lessons from past reviews
- Sharing best practices across analyst teams
- Proposing control enhancements proactively
- Measuring reduction in audit follow-ups
- Recognizing team contributions to compliance
- Integrating feedback into workflows
- Benchmarking against industry peers
- Publishing internal compliance updates
- Mentoring junior analysts on secure practices
- Evolving your role into a recognized authority
How this maps to your situation
- Responding to commercial data requests securely
- Supporting audit readiness from analyst role
- Leading cross-functional data questions
- Building personal credibility on compliance
Before vs. after
Before
Reactive responses to data requests with occasional pushback on scope or access
After
Colleagues across teams consult you first when payment-related data questions arise
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 2.5 hours per module, designed to be completed in parallel with regular work across a 6-week period.
If nothing changes
Remaining in reactive mode means missed opportunities to shape data policy and visibility. Others will define the rules you have to follow.
How this compares to the alternatives
Generic compliance courses cover all roles and miss data-specific nuances. This course is tailored to analysts who must reconcile commercial demands with strict controls, giving you actionable patterns others lack.
Frequently asked
Is this course suitable for someone who doesn’t handle card data directly?
Yes. Many analysts touch cardholder data indirectly through reporting or analytics. This course teaches how to identify and manage those connections properly.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an audit?
It equips you with the documentation, controls, and reasoning patterns used by successful teams during PCI DSS audits, so your work passes review the first time.
$199 one-time. Approximately 2.5 hours per module, designed to be completed in parallel with regular work across a 6-week period..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours