Use your business acumen to ask and answer questions in all areas of the business including strategy, supply chain, sales operations, fraud analysis, product management and more
Support top level projects like new feature releases, fundraising, and marketing launches with data-driven intelligence
Collaborate with engineers, integrations engineers, and tool administrators to implement and improve data schemas and make data architecture decisions
Participate in monthly business reviews to research hypotheses and trends
Help with ad hoc requests from across the business and collaborate on a kanban board with teammates
Design, develop and implement data pipelines for data ingestion and transformation
Build and maintain data models in a DBT Github repository in a medallion data warehouse used by the entire organization
Collaborate with business leaders to understand their analytical needs
Develop automated data quality checks and monitoring processes
Maintain a data catalog and train the organization on data interpretation and discoverability
Use your knowledge of Python to automate and build scripts that support business processes
Use your knowledge/interest in ML to develop scoring systems for customer behavior, marketing leads, fraud analysis, and more
Skills Required
Machine Learning
Python
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