Data Engineer - Retail Business Intelligence

Cupertino, CA
  • Job Code
    200102503
Summary

Summary

Posted: Sep 20, 2019

Weekly Hours: 40

Role Number: 200102503

At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a dynamic environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Retail Business Intelligence team is seeking an expert Data Engineer to support marketing campaign automation and data analysis for Retail.

In this role you will interface with both business and IT partners, using their passion to expose the operational value of data to drive value in both domains

This role requires you to architect easy-to-use data objects, create email campaigns, and build reporting assets that end users can utilize for data driven decisions. Are you ready to tackle on an exciting new challenge?

Key Qualifications

  • 5+ years of data extraction and front end report building (PHP or similar)
  • Proficient with data access/preparation methods using Teradata SQL and relational databases
  • Proficient with scripting/glue languages like PHP or Python and web-technologies like HTML, CSS, and Javascript
  • Strong interpersonal skills, both verbal and written
  • Ability to work on multiple assignments with excellent attention to detail
  • Flexibility to handle directional changes and ability to support multiple deadline-specific projects while maintaining day-to-day business support
  • Driven, Self-motivated individual who is experienced working in a global, matrixed, fast-paced environment
  • Ability to comprehensively understand data elements, sources and relationships
  • Ability to establish and manage relationships in a cross-functional team environment
  • Unix programming/scripting experience a plus

Description

Define how data is structured, organized and interpreted for consistent executive reporting

Define and automate campaigns using tools like UNICA

Develop and implement reporting for data quality, data capture rates and monitor data quality

Partner with database developers to have designs for database objects implemented and validated

Perform ad-hoc analytics to support incoming requests from business partners

Engage with IT and project teams to ensure reporting requirements are covered

Define, build and deploy impactful metrics

Develop and implement web reports and analytical tools based on business requirements

Provide consultation and training to users of analytical tools

Additional responsibilities will include extracting, cleaning and manipulating data from multiple systems fo research & advanced analytics

Education & Experience

BS required, advanced degree in Statistics and/or Computer Science a plus

Additional Requirements

  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants


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Data Engineer - Retail Business Intelligence

Apple, Inc.
Cupertino, CA

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