Analyze and operationalize consent and privacy-related data across its lifecycle. Use SQL for data profiling and anomaly detection, design consent-focused data models, support OneTrust and integrations with CRM/ESPs, enforce data governance and GDPR/CCPA compliance, monitor data quality, document lineage, and collaborate cross-functionally in Agile teams.
Role Overview
The Consent Data Analyst is responsible for analyzing, interpreting, and operationalizing consent and privacy-related data across the organization. This role bridges business, analytics, and engineering teams to ensure that consent data is accurately captured, governed, transformed, and made available for compliant analytics, marketing, and product use cases.
The analyst plays a key role in supporting a customer privacy–centric data ecosystem, ensuring adherence to regulatory frameworks (e.g., GDPR, CCPA) while enabling data-driven decision-making.
Key Responsibilities
1. Consent & Data Analysis
- Perform end-to-end analysis of consent data lifecycle—from collection to transformation and consumption.
- Analyze large datasets using SQL to identify trends, anomalies, and compliance gaps.
- Conduct data profiling to assess data quality, completeness, and usability for consent-driven use cases.
2. Requirements & Data Modeling
- Gather, document, and translate business requirements into data specifications and analytical solutions.
- Collaborate with data engineers and architects to design dimensional models and consent-focused data structures.
- Review ERDs, data models, and transformation logic to ensure alignment with consent use cases.
3. Consent Platform & Integration Support
- Work with consent management platforms (e.g., OneTrust) and downstream systems (CRM, ESPs, marketing tools).
- Validate and support data pipelines that integrate consent data across platforms.
- Ensure consent data is properly mapped and available across analytics ecosystems.
4. Data Governance, Privacy & Compliance
- Implement and support data governance, lineage, metadata, and quality frameworks for consent data.
- Ensure compliance with privacy regulations (GDPR, CCPA) in all data processes and reporting outputs.
- Partner with data stewards and privacy teams to enforce policies and standards.
5. Data Quality & Issue Resolution
- Identify data quality issues and collaborate with engineering teams to remediate them.
- Develop validation rules and checks for consent data pipelines.
- Monitor data integrity and ensure consistency across systems.
6. Documentation & Best Practices
- Prepare technical specifications for data ingestion, transformations, and analytical outputs.
- Maintain documentation for consent data definitions, lineage, and rules.
- Contribute to analytics standards, templates, and agile best practices.
7. Agile Collaboration
- Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives).
- Work cross-functionally with engineering, product, legal, and marketing teams.
Location
- Full-time remote role
- Hybrid work option available for select locations (e.g., Toronto)
Required Skills & Qualifications
Education & Experience
- Bachelor’s degree in Computer Science, Data Analytics, Statistics, Engineering, or related field.
- 4–6+ years of experience in data analysis, preferably in privacy/consent or regulated domains.
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.
Top Skills:
AirflowGoJavaKafkaPythonSparkSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.
Top Skills:
Event-Driven ArchitectureGenerative AiGoGraphQLJavaMicroservicesPythonRest ApisRuby
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead architecture and implementation of Coinbase's Risk Platform: build high-throughput, low-latency real-time fraud detection, decisioning, and mitigation systems. Define multi-quarter technical strategy, partner with Data Science/ML/Product/Compliance, implement AI-native agent-driven workflows, and mentor engineers to improve reliability, performance, and scale.
Top Skills:
Agent FrameworksEvent-Driven ArchitecturesGenerative AiGraphQLMicroservicesReal-Time DecisioningRest
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
