Enhance and extend dashboarding and conversational BI tech-stack that enables data-based decision-making for non-technical users across the retail stores organization Deliver high-impact dashboards & supporting semantic layer which create multi-year improvements to customer experience programs, site selection, staffing & scheduling, and operational efficiency Partner with product management, data science, data engineering, and data infrastructure teams to deliver tools which integrate seamlessly into user workflows6+ years experience building analytics pipelines in a production development environment for modeling, analysis, and reporting 6+ years experience coding in SQL or PySpark and Python 6+ years experience building and maintaining dashboards in Tableau, PowerBI, or Looker with hundreds of users Ability to initiate, refine, and complete projects with minimal guidance Ability to think critically and and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data products Bachelor's degree in a relevant field (Engineering, Data Science, Business) or equivalent experienceExperience building analytics pipelines in production development environment, ideally with Snowflake SQL or PySpark, and pipeline tools like Airflow and dbt 3+ years experience managing semantic layer in tools like Cube, dbt, Snowflake, or LookML 3+ years experience developing reusable data visualization assets like Tableau viz extensions 3+ years experience working with retail data Master's degree in a relevant field (Engineering, Data Science, Business) or equivalent experience. Partnering with Product Management, Data Science, Engineering, and Operations teams, you will build and refine scalable dashboards and data products that delight users - including a centralized hub of canonical dashboards and AI-driven conversational data tools-that deliver dynamic and intuitive decision support.