Role Overview The Senior Data Analyst / Data Modeler serves as a hands-on technical resource responsible for designing, implementing, and supporting enterprise data models and data warehouse solutions. This role focuses on translating business and analytical requirements into scalable logical and physical data models that support reporting, analytics, and performance measurement across the organization. Key Responsibilities • Design, plan, and document logical and physical enterprise relational data models. • Translate logical designs into physical database structures and define end-to-end data flows. • Implement and maintain physical data models on cloud platforms such as Snowflake. • Partner with business users to gather data requirements and define KPIs and performance metrics. • Develop source-to-target mapping documents, including business transformation rules. • Perform data profiling and data quality analysis to ensure integrity, accuracy, and consistency. • Support QA and User Acceptance Testing (UAT) and provide ongoing production support for the enterprise data warehouse. • Identify data issues, perform root-cause analysis, and implement corrective actions. • Support data governance initiatives through monitoring, validation, and data quality controls. • Collaborate effectively across development, architecture, data integration, and BI teams. Required Experience & Qualifications • Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience. • 7–10+ years of overall IT experience in data engineering, data analysis, or software development roles. • 5–7 years of hands-on data analysis and modeling experience, including complex relational data models. • 3–5 years of strong Snowflake experience with advanced SQL development. • Proficiency with SQL and Python for data manipulation and analysis. • Experience with BI and analytics tools such as Power BI, SAP BO, or Excel. • Strong understanding of data warehousing concepts, data marts, and analytical database environments. • Ability to create data flow diagrams and process documentation. • Excellent analytical, problem-solving, and communication skills. • Ability to work independently while collaborating across cross-functional teams in a dynamic environment. Preferred Skills • Experience in professional services, consulting, or client-facing technology roles. • Familiarity with BI methodologies, OLAP tools, and enterprise analytics environments. • Strong business acumen with the ability to communicate data architecture concepts to non-technical stakeholders. • Comfort working in ambiguous or rapidly changing environments.