Apple Support Operations & Technologies Data Engineer in Austin, Texas
Support Operations & Technologies Data Engineer
Software and Services
3+ years of data analytics or business analytics experience
Aptitude for synthesizing sophisticated data into key components that drive informed decisions
Excellent time-management skills
Exceptional project management skills
Flexible and able to multitask in a deeply dynamic business
Extraordinary analytic, problem solving, and written/oral communication skills
Strong Tableau experience
Experience with database platforms and reporting tools such as SQL, Teradata, Hadoop, Oracle, and/or MemSQL
Well-organized, detail oriented with excellent follow through
Excellent analytical mentality and attention to detail, especially in predicting and preventing potential future challenges
Ability to maintain a global perspective and see beyond current issues in order to understand downstream impacts of decisions
Self-motivated, driven individuals who are comfortable working in a global, fast-paced, often ambiguous environment with the ability to work with multi-functional teams
Extraordinary teammate with a positive demeanor, high emotional intelligence and the ability to make decisions
Our Data Analysts become specialists in AppleCare’s systems and processes to help motivate change across the world. In collaboration with the business, you will develop data-driven approaches to distill big data into action. As the authority in AppleCare Support Data you will define requirements for the data points collected across AppleCare Support technologies and applications. You will partner with other organizations to ingest and validate data, and assist in educating consumers in utilizing the data efficiently. You will think creatively and strategically, executing AppleCare Support strategies to make definitive and measurable improvements in support of the global Contact Center. You will provide leadership in a multi-functional environment to articulate data requirements to senior leadership, product owners, and business customers. The ability to think out of the box and influence peers and management with data driven models is a must have. Able to maximize data development using appropriate tools, standard methodologies, and techniques, to create quality data at the right time and place to support decisions is a measure of success for this role. Excellent verbal and written communication & presentation skills is desired.
Education & Experience
Bachelors or Masters degree in Mathematics, Statistics, Computer Science, Operations Research, Data Analytics, or related quantitative social/physical science field.
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