<p>Retail Functional Consultant</p> <p>Must Have Technical Functional Skills</p> <p>Experience: 5-7+ years of experience as a Data Consultant, Business Systems Analyst, or Functional Analyst, with a proven track record of working on large-scale data projects.</p> <p>Retail Industry Expertise: Deep, hands-on experience in the retail sector. Must understand the nuances of retail</p> <p>customer data (householding, loyalty tiers, promotional activity, cross-channel behavior).</p> <p>Customer Data Proficiency: Demonstrable experience with core Customer 360 Master Data Management (MDM)</p> <p>Concepts Data Analysis and SQL: Strong proficiency in SQL for data profiling, source-to-target mapping validation, and ad-hoc analysis. You must be comfortable getting your hands dirty in the data.</p> <p>Exceptional Communication: World-class ability to communicate complex data concepts to non-technical business audiences and to translate ambiguous business needs into precise technical requirements.</p> <p>Roles and Responsibilities</p> <p>Stakeholder Engagement and Requirements Gathering: Lead workshops and interviews with client stakeholders to deeply understand and document their current and future-state needs for a unified customer view.</p> <p>Functional Design and Data Modeling: Define and design the conceptual and logical customer data model. Identify key customer attributes, entities, relationships, and hierarchies required to meet business objectives.</p> <p>Source System Analysis and Data Mapping: Analyze the client's myriad source systems (e.g., Point-of-Sale, e-commerce, Loyalty Program, Marketing Cloud, ERP, Customer Service) and create detailed data mapping specifications for the ETL ELT development teams.</p> <p>Use Case Enablement: Collaborate with business teams to define how the Customer 360 data will activate key use cases, such as campaign segmentation, personalization, churn prediction, and customer lifetime value (CLV) calculation</p> <p>Solution Validation and UAT: Act as the functional expert during the testing and validation phases, ensuring that the built solution meets the documented business requirements and data quality thresholds.</p> <p>Documentation and Knowledge Transfer: Create and maintain comprehensive functional documentation, including data dictionaries, process flows, and business rule definitions, to ensure the client can successfully adopt and govern the solution.</p> <p>Education</p> <p>Bachelors</p> <p>Salary Range: $100000 - $120000 a year</p>