About
PlanetArt's vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of live events. The company's brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading SimplytoImpress card and stationery site, as well as Personal Creations, CafePress and ISeeMe! We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe. PlanetArt is looking for a Data Engineer to support the company's Forecasting & Pricing Group. This role is responsible for ETL of data from production systems into data warehouse for Data Science projects. PLEASE NOTE: Candidates much be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote) Key Responsibilities Creating data pipelines using extract, transform and load processes to streamline and manage data from different sources and make it understandable, accessible and usable. Optimizing database systems for performance and integrating types of databases, warehouses and analytical systems. Implementing algorithms for data transformation and use and machine learning models to make data useful. Partner with cross-functional teams (Data Science, Sales, Finance, Supply Chain, Marketing, Operations) particularly to align forecasts with strategic and operational planning. Identify key risks and opportunities within forecast assumptions and present recommendations to leadership. Monitor deployed forecast model performance, track variances, and continuously refine methodologies. Troubleshooting data-related issues by identifying the main cause and fixing common issues in data pipelines. Design and deliver recurring reports, dashboards, and presentations for senior leadership. Mentor and provide guidance to junior analysts on best practices in analytics.
Languages
- English
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