The company is looking to solve business problems with data, specifically in the supply chain, by automating manual processes and building dashboards for real-time visibility.
Requirements
- Strong experience in BI development, especially using Databricks and Tableau
- Solid coding skills in Python and SQL with experience handling large, messy datasets
- Familiarity with supply chain planning data (e.g., backlog, forecast, inventory)
- Interest or experience in machine learning (classification, time series)
- Languages: Python, SQL, Spark
- Platforms: Databricks, Redshift
- Visualization: Tableau
Responsibilities
- Develop and maintain automated data pipelines using Databricks (Python, Spark, SQL)
- Create Tableau dashboards and data products to support NAM Planning and cross-functional stakeholders
- Manipulate and join large datasets from multiple source systems to produce curated datasets in Redshift
- Perform exploratory data analysis to uncover trends, bottlenecks, and opportunities in our supply chain
- Assist in early-stage machine learning and predictive analytics projects
- Translate business requests into scalable solutions, with a focus on usability, performance, and value
- Collaborate with peers in Supply Chain, IT, and Finance to standardize metrics and align on data sources
Other
- Clear communicator with strong data intuition and business acumen
- Self-starter who enjoys working with data, building scalable pipelines, and making an impact
