The point where experts and best companies meet
Apple Data Engineer - Business Process Re-Engineering United States, Texas, Austin 858029717
Today
Share
Make a difference.An understanding of data sources & relationships, reporting tools and systems knowledge is required as well as experience with measuring and managing data quality. Create clear and concise technical documentation, including data dictionaries, process flows, and system architecture diagrams as well as a positive attitude and the ability to communicate and negotiate are necessary to be successful in this role.
- BS/MS in Data Mining, Statistics, Machine Learning, Computer Science, Operations Research or related field
- Minimum 5 years experience within Operations and Supply Chain desired
- Proven data driven decision making skills
- Expert level fluency with Snowflake, SQL, Tableau, and Python is required
- Experience with data modeling in Snowflake, performance tuning the queries and optimization
- Computational analysis using Snowflake, mySQL, Teradata, Python, Tableau, Business Objects, JMP, R, Matlab, SPSS and working knowledge of SAP/S4 data structures
- Ability to bridge the gap between business needs and technical capabilities, translating complex analytical requirements into actionable data solutions and automation across tools and platforms
- Provide reporting and insights to the operations team and external partners
- Ability to operate in a fast paced, rapidly changing environment
- Ability to rapidly learn and adapt to business changes
- Create and maintain reports, create and manage data models, leverage data across complex hierarchies using multiple data sources
- Leverage process improvement techniques to drive improvements in data quality
- Detail oriented and self-motivated individual able to function effectively when working independently or in a team
- Design, develop, and maintain data pipelines and architectures to support analytical needs
- Excellent communication and presentation skills
- Perform testing to support system implementations and upgrades
- Leverage industry best practices for data analysis and share across the operations community
- Knowledge of advanced data engineering concepts including data warehousing, data modeling, and experience in managing a self-serve model
- Influence the architecture of core data models that fuel the Operations teams
- Help functions solve problems and improve their processes, products, and services
These jobs might be a good fit
