remote
Senior Data Analyst - Acxiom
Data Analyst
Senior Data Analyst driving design, delivery, and optimization of financial services customer and digital data products, focusing on customer data platforms, marketing data lakes, and personalization, while collaborating with product, marketing, technology, vendors, and data governance teams.
About the role
The Senior Data Analyst role supports the design, delivery, and optimization of one of Acxiom ’s financial services client’s customer and digital data products, with a focus on customer data platforms, marketing data lake, and personalization enablement. The role partners closely with product, marketing, technology, vendors and data governance teams for remapping data management and modernization purpose.
Key Responsibilities
- Partner with product managers to define product KPIs, success metrics, and analytical requirements across customer and digital products
- Support the modernization of clients’ marketing data lake as the enterprise data foundation for customer and marketing insights
- Design and maintain entity-based data models for the marketing data lake
- Apply medallion architecture principles (bronze, silver, gold) to marketing data lake design
- Support analytics, personalization, customer acquisition, and lifecycle-marketing strategies
- Experience with audience segmentation, campaign targeting, suppression, and eligibility rules
- Experience supporting identity graph and third-party identity providers (e.g. LiveRamp, Acxiom )
- Ensure alignment between enterprise data lake entities and Adobe RTCDP profile and event schemas
- Collaborate with engineering and data platform teams to define data ingestion, data remapping, transformation, and modeling requirements
- Document data definitions, business rules, and assumptions in alignment with client’s data governance standards
- Apply consent, privacy, and data usage controls across all analytics, journey, and activation use cases
- Support audit, regulatory, and risk-management inquiries with traceable and explainable data flows
- Proactively identify data quality, lineage, or control gaps and recommend remediation actions
Required Qualifications
- Bachelor’s degree in analytics, information systems, computer science, economics, or related field
- 3 – 5 years of experience in product analytics, marketing data lake, or customer data platforms
- Strong experience in data modeling (conceptual, logical, and physical)
- Strong ability to translate product and business needs into data and analytics requirements
- Excellent communication skills with technical and non-technical stakeholders
Preferred Qualifications
- Experience in financial services or other highly regulated environments
- Familiarity with identity resolution and customer identity graphs
- Knowledge of data governance frameworks, data lineage, metadata management
- Experience supporting personalization, segmentation, and marketing measurement use cases
- Knowledge of data governance frameworks, data lineage, and metadata management
- Exposure to personalization, decisioning, and next-best-action