Senior Data Analyst

Role overview

The Senior Data Analyst supports the design, delivery, and optimization of a financial-services client’s customer and digital data products. You’ll focus on customer data platforms, a marketing data lake, and personalization enablement, working closely with product, marketing, technology, vendors, and data governance teams.

Responsibilities

• Partner with product managers to define product KPIs, success metrics, and analytical requirements for customer and digital products.
• Support modernization of the client’s marketing data lake as the enterprise foundation for customer/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.
• Enable analytics and use cases for:
  • Personalization
  • Customer acquisition
  • Lifecycle marketing
• Build expertise in audience segmentation, campaign targeting, suppression, and eligibility rules.
• Support identity solutions including 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 on data ingestion, data remapping, transformation, and data modeling.
• Document data definitions, business rules, and assumptions following data governance standards.
• Apply consent, privacy, and data usage controls across analytics, journey, and activation use cases.
• Support audit, regulatory, and risk inquiries with traceable and explainable data flows.
• Proactively identify data quality, lineage, or control gaps, and recommend remediation.

Required qualifications

• Bachelor’s degree in analytics, information systems, computer science, economics, or a related field.
• 3–5 years of experience in product analytics, marketing data lake, or customer data platforms.
• Strong experience in data modeling (conceptual, logical, physical).
• Strong ability to translate product/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.
• Familiarity with data governance frameworks, data lineage, and metadata management.
• Experience supporting personalization, segmentation, and marketing measurement use cases.
• Exposure to personalization, decisioning, and next-best-action analytics.

Nice to haves

• Hands-on experience with Acxiom data products and identity solutions, such as:
  • Acxiom Real ID
  • AbiliTec identity graph
  • Data onboarding/enrichment datasets
  • Prospect/look-alike modeling datasets
• Advanced SQL and experience with large, complex datasets.
• Experience integrating Acxiom data feeds into enterprise marketing platforms (e.g., CDP, marketing data lake, campaign management systems, digital advertising platforms).