Data Quality Analyst

Santa Clara Valley (Cupertino), California, United States
Software and Services


Weekly Hours: 40
Role Number:200107275
We’re a diverse collection of thinkers and doers, continually reimagining our products, systems, and practices to help people do what they love in new ways. This is a deeply reciprocal place, where everything we build is the result of people in different roles and teams working together to make each other’s ideas stronger. That same real passion for innovation that goes into our products also applies to our practices, strengthening our dedication to leave the world better than we found it. Apple 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 visibility on our data's health. 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.

Key Qualifications

  • Proficiency with SQL is required; R or Python is a plus
  • Hadoop experience (MapReduce, Hive, Spark SQL) is a huge plus
  • 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 candidate should be self-motivated with a can-do attitude
  • Great teammate, strong interpersonal skills, go-getter


In this role, you will perform the following: - Work with the Data Engineering to ensure timely and quality delivery of our data. - Own external reporting, from instrumentation QA to business logic updates to report generation and validation. - Build the daily quality pipeline, create reporting to automatically monitor for regressions and coordinate 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. - Collaborate with product, design, engineering, business, and science groups to formulate innovative solutions to improve feature and content engagement. - Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.

Education & Experience

Minimum of Bachelor's degree in the fields of Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline; Master's preferred

Additional Requirements