- Strong background in data analysis, forecasting, and inventory planning.
- Experience with retail analytics, supply chain management, or merchandising preferred.
- Proficiency in data visualization and forecasting tools (e.g., Excel, SQL, Tableau, Power BI).
- Ability to collaborate with corporate stakeholders and translate data insights into actionable strategies.
This position is ideal for professionals who thrive in data-driven environments and enjoy optimizing retail product distribution for major seasonal events.
Must Have:
- PowerBI Expertise
- Power Platform:
- Create data
- Create data sources
- Apply data sources
- Role Level Securities
- Visualizations
- Databricks Expertise:
- Pipeline creation
- Set up clusters
- Create workspaces
- Python scripts
- Admin knowledge is preferable but not mandatory
- Data Modeling
- DAX Calculations
- * Strong reporting skills: PowerBi/Fabric
- MS Azure, ETL Pipeline Development, ADF, etc. Technology agnostic.
- * Databricks, absolute must have
- * Exposure to APIs - REST, PySpark
- * Cloud Data Engineering (Azure)
- * Scripting: Shell, Python,R
- * Strong SQL Skills
- Additional Tech:
- * Azure DB: Data lake, Cosmos, Synapse, Azure SQL
- * Machine Learning frameworks.
- * ETL Pipeline Development
- Data engineering tools in GCP.
- * Javascript
- * Java, Android