Data Quality Analyst - Creativity Apps
Apple · Culver City, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
The Data Quality Analyst will build data integrity frameworks and automated reporting pipelines to monitor data health and regressions. They will also perform root cause analysis on anomalous data and communicate complex insights to senior management.
What they look for
Requirements
Candidates must have at least 4 years of experience with SQL and a basic understanding of Python for pipeline development. A bachelor's degree in a field like Computer Science, Information Systems, or Analytics is preferred.
Full description
We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking, and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Consider joining our team!
The Creativity Apps team is looking for a Data Quality Analyst who will focus on ensuring quality delivery of data, building a new data integrity framework, and developing reports to increase the visibility of our data's health. You’ll work with the world-class teams behind Final Cut Pro, Logic Pro, iMovie, GarageBand, Pages, Numbers, Keynote, and more to create next-generation tools for creators. You will be a strong problem solver, equipped with strong analytical and quantitative skills suited to approach various kinds of challenges in complex environments. Adept at creative and critical thinking, you are able to deconstruct problems and transform personal insights into data-backed recommendations. You are a quick learner with a strong sense of personal responsibility and a technical orientation.
Description
In this role, you will perform the following:
- Own external reporting, from instrumentation QA to business logic updates to report generation and validation. - Building the daily quality pipeline, creating reporting to automatically monitor for regressions and coordinating with instrumentation leads to surface data quality concerns early in the development cycle. - Perform root cause analysis for identifying anomalous data points. - Serve as an internal liaison to other teams to support knowledge sharing of our data and best practices for its use. - Build visual reports and dashboards using solutions such as Tableau, Looker, Jupyter, etc. - Work with large volumes of data, extract and manipulate large datasets using tools such as Spark SQL. - Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.
Minimum Qualifications
4+ years experience with SQL Basic understanding of Python for pipeline development Strong product intuition, data analysis skills, and business presentation skills /story-telling Capable of working with large sets of data in a variety of tools including internal app behavioral data, and industry-standard tools Delivery-oriented, able to lead and execute analysis efforts from start to finish Ideal B.Sc. in the fields of CS, EE, Information Systems, Analytics, or similar academic areas
Preferred Qualifications
Candidate should be self-motivated with a can-do attitude. Great teammate, have strong interpersonal skills, go-getter
