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.

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.

Technical Skills Core Analytics Advanced SQL for querying, transformation, and performance optimization. Strong data profiling and data quality assessment techniques. Experience with data modeling (dimensional modeling, ERD). Data Platforms & Tools Experience with cloud platforms (AWS preferred: S3, Redshift, Glue). Exposure to DBT or similar transformation tools (nice-to-have). Knowledge of ETL/ELT pipelines and data integration concepts. Programming & Automation Python (basic to intermediate) for data analysis and automation (preferred). Familiarity with APIs and data connectors is a plus.

Consent & Privacy Expertise Understanding of consent management platforms (OneTrust or similar). Knowledge of privacy regulations: GDPR CCPA Understanding of consent data structures, opt-in/opt-out logic, and lawful data usage.

Data Governance & Quality Knowledge of data lineage, metadata management, and governance frameworks. Experience implementing data quality rules and validation techniques.

Soft Skills Strong problem-solving and analytical thinking. Excellent communication and stakeholder management. Ability to work independently and collaboratively in Agile environments. Detail-oriented with strong documentation skills.

Nice-to-Have Skills Experience with consent data in marketing/CRM ecosystems. Exposure to CI/CD practices and version control. Familiarity with change data capture (CDC) concepts.