Job Details

Weekly Hours: 40

Role Number: 200629119-3401

Summary

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Do you have a strong passion for using data to drive business decisions, generate ideas, and encourage collaborators? As an Analytics Engineer on the Retail Store Analytics team, you will help build and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail. Leverage large and sophisticated data sources from across Apple to deliver data products.

Description

You will partner with multi-functional teams to identify, develop, and maintain metrics and data pipelines to support analytics, reporting, and key decisions on a wide variety of topics including product launches, customer experience, and operational performance. Other responsibilities include the following:

• Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting.
• Collaborate with other data scientists, analysts, and engineers to build full-service data solutions.
• Work with multi-functional business partners and vendors to acquire and transform raw data sources.
• Develop a deep understanding of our retail customer base and purchase choices and give to the development of tools to improve business efficiency and productivity.

Minimum Qualifications

• 4+ years of industry experience building analytics pipelines in a production development environment.

• Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems, Data Science or other Analytics fields, or a related subject area, or equivalent industry experience.

• 4+ years experience coding in SQL or PySpark and Python.

• 4+ years in data modeling and building robust and scalable data processes and pipelines for modeling, analysis, and reporting.

• Ability to initiate, refine, and complete projects with minimal guidance.

• Ability to think critically and collaborate multi-functionally with other data engineering, data science and analytics partners distilling abstract requirements into clear data products.

Preferred Qualifications

• 6+ years of experience building analytics pipelines in production development environment, ideally with Snowflake SQL or PySpark, and pipeline tools like Airflow and dbt.

• 3+ years of experience in data observability building unit tests, anomaly detection and alerting solutions.

• 3+ years of experience developing feature stores for machine learning applications, testing and evaluating machine learning models and scaling and deploying ML models.

• Experience translating business needs into logic and key performance indicators.

• Experience with BI processes and some experience with dashboard tools like Tableau.

• Master's Degree in Computer Science, Electrical Engineering, Information Systems, Data Science or other Analytics field, or a related subject area with specialization in Machine Learning.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $118,500 and $244,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .