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.
Skills Required
- 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
- Proficiency in SQL for analyzing large datasets
- Experience with consent management platforms (e.g., OneTrust)
- Experience designing dimensional data models and reviewing ERDs
- Experience validating and supporting data pipelines, integrations across CRM, ESPs, and marketing tools
- Knowledge of data governance, lineage, metadata, and data quality frameworks
- Familiarity with privacy regulations and compliance (GDPR, CCPA)
- Experience performing data profiling, developing validation rules, and remediating data quality issues
- Experience working in Agile teams and collaborating cross-functionally with engineering, product, legal, and marketing
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
