Senior Data AnalystWe are seeking a highly experienced Senior Data Analyst with a strong background in customer loyalty systems to lead the design, integration, and optimization of data and business solutions across our loyalty platform ecosystem. This hybrid role demands a unique blend of business acumen, systems thinking, and deep technical expertise in data modeling and architecture, particularly within loyalty or customer engagement environments. This role will serve as a critical link between business stakeholders, technical teams, and data infrastructure, ensuring loyalty program requirements are translated into scalable, secure, and high-performance data solutions.Position ResponsibilitiesPartner with stakeholders across product, marketing, CRM, and IT to gather, analyze, and prioritize business requirements related to loyalty program capabilities (e.g., accrual, redemption, tiering, member lifecycle).Translate business needs into detailed technical specifications and solution designs.Document system and process flows, data mappings, and interface specifications for loyalty system integrations.Analyze loyalty program performance, customer data, and behavioral metrics to inform system design and enhancements.Support stakeholder alignment by leading workshops and presenting solution designs.Data Architecture ResponsibilitiesLead the design and implementation of end-to-end data architectures supporting loyalty programs, including customer profiles, transactional history, engagement metrics, and campaign data.Design and maintain conceptual, logical, and physical data models for loyalty ecosystems.Define data integration strategies and oversee data flow design between loyalty platforms, CRM, POS, mobile apps, and enterprise data warehouses.Ensure alignment of loyalty data models with enterprise architecture and data governance standards.Collaborate with data engineers, developers, and DevOps teams to ensure solutions are robust, scalable, and optimized for performance.Evaluate new loyalty platforms or enhancements and provide architectural recommendations.Experience and QualificationsBachelor’s degree in Computer Science, Information Systems, Data Science, or related field.6+ years of experience in data analysis with significant focus on customer loyalty systems or CRM platforms.Deep experience with loyalty business processes: point accrual/redemption, member tiers, campaign targeting, personalization, breakage analysis, etc.Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, BigQuery, Azure Synapse, AWS Redshift).Proficiency in data modeling tools (e.g., ER/Studio, Lucidchart, dbt, ERwin).Experience working with API integrations, event-based data pipelines, and microservices architecture.Familiarity with enterprise loyalty platforms (e.g., Salesforce Loyalty, Oracle Loyalty Cloud, Comarch, SessionM, Annex Cloud, Kobie, etc.).Experience with tools like Airbyte, dbt, Airflow, Fivetran, or Talend for data orchestration.