Job Description :
Data Management & Preparation
Adhere to processes to ensure data pulled from various sources meets quality standards, is curated and enhanced for analytical use and there is a "single source of truth"
Work with counterparts from Tech to build frameworks that integrate data pipelines and machine learning models that facilitate use by data scientists for priority use cases;
Enterprise Data and Analytics team focused on "last mile" transformations on select data required for use cases
Maintain database structure and standard definitions for business users across Macy''s
Work with data architects to build the foundational extract / load / transform process and regularly review the architecture and recommend effectiveness improvements •
Collaborate with Technology to future-proof data & analytics software, tools and code to reduce risk and support pipeline owners
Work with Legal and Privacy teams to adhere to data privacy and security standards
Work with Data Architect to implement the data models, standards and quality rules
Work with the Data Science team to understand data formatting and sourcing needs to enable them to build out use cases as efficiently as possible
Culture
Community builder to foster data and analytics culture and to support data-driven thinking and discussions across priority analytics use case
Bolster awareness, knowledge and conviction around data-driven practices and behaviors, increasing digital IQ of Business Units
Proactively raise data issues and take action to remediate
Support business users in identifying the correct data sets and providing easy to use tools to pull data
Qualifications:
BA/BS degree required • 5+ years of work experience, and at least 3 years of demonstrable experience in the role’s relevant technologies and field of expertise
Ability to write production level code, assess databases and leverage Big Data technologies on Google Cloud Platform to support downstream analytics
Familiarity with data architecture, modeling and security
Experience in distributed computing and enterprise environments
Excellent written and verbal communication skills with ability to read, write and interpret business and technical documents