Data Modeler

Job Title:

Data Modeler

Department:
Analytics / Data & BI

Reports To:

Director of Data & Analytics

Tile Bar is a leading omni-channel retailer specializing in tile, flooring, and related home improvement products. We’re committed to driving data‑informed decisions and scalable analytics across the organization to support growth and operational excellence.

We are seeking an experienced Data Modeler to build, maintain, and evolve our data models that support corporate analytics, including orders, inventory, transactions, and other key business domains. This role partners closely with business stakeholders to translate analytics needs (both logic and visual outputs) into high‑impact semantic and analytical solutions.

• Design, build, and maintain robust data models to support enterprise analytics across orders, inventory, financials, operations, and transactional domains.
• Partner with business stakeholders (Finance, Operations, Merchandising, Supply Chain) to identify analytics requirements — including both business logic and visual output expectations.
• Develop and deploy semantic models and high‑complexity Power BI dashboards/reports that provide actionable insights.
• Implement data refresh strategies and performance optimization for both Power BI and SQL Server data sources.
• Ensure data quality, consistency, and documentation throughout model layers.
• Define and enforce naming conventions, metadata standards, and reusable modeling patterns.
• Support and educate business users on dashboards, data logic, and best practices.
• Collaborate with data engineering to integrate models into the formal data warehouse architecture (future state).

• 5–7+ years of relevant experience delivering enterprise analytics and data models.
• Proven mastery of Power BI, including semantic modeling, DAX calculations, and advanced visualizations.
• Strong experience with SQL Server, T‑SQL, performance tuning, and data refresh workflows.
• Demonstrable track record working directly with business partners to gather requirements and deliver analytics solutions.
• Deep understanding of how to structure data to support self‑service BI while maintaining enterprise governance.
• Excellent communication skills, able to translate technical details to non-technical stakeholders.

• Hands‑on experience in a formal Data Warehouse environment (star/schema, ETL/ELT patterns).
• Familiarity with data modeling tools or methodologies (e.g., Kimball, Inmon, semantic layer frameworks).
• Experience with additional BI or data tools (e.g., Azure Synapse, Databricks, SSIS/ADF).

• Competitive salary & benefits
• Hybrid/remote flexibility (if applicable)
• Opportunity to shape analytics strategy and deliver high‑visibility solutions