Data Quality Analyst - Creativity Apps

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, Garage Band, 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