Senior Analytics Engineer, ASE

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple’s Enterprise team is looking for an experienced data science product analyst to join our growing Enterprise team. Our team’s mission is simple: help people work together—and with our devices—at scale, whether that means a school district, a small business, or a Fortune 500 company. We’ve got big ambitions and your work will be instrumental to realizing them and delivering great products to our users. As a data scientist focused on product analysis, you’ll be in a highly dynamic and collaborative role that is integral to setting product strategy and direction. You’ll use a broad base of analytical skills and techniques to surface substantial business insights and communicate these results and ideas to key decision makers within Apple.

Key Qualifications

5+ years in an analytics or data science role, ideally focused on B2B SaaS products
Experience choosing metrics and setting goals for product teams
Experience running A/B tests and a strong foundation in hypothesis testing
Experience with data visualization and exploration tools (e.g., Tableau, Looker, etc.)
Expertise in SQL and a high-level programming language for analysis (e.g., Python or R)
Understanding of statistical modeling techniques and machine learning methods for data science
Exceptional written, visual, and verbal communication skills
Independent, proactive, and collaborative working style

Description

This role works on an embedded basis with product teams across the full product development lifecycle. Depending on the stage of the product, the day-to-day will include:

Performing and presenting ad-hoc analysis to develop understanding of our products
Collaborating with product managers and marketing teams to set metrics and goals for products
Collaborating cross-functionally to identify reporting requirements and ensure the vital data is accessible
Building reporting and visualizations
Using machine learning techniques to identify key areas of opportunity
Building models to forecast growth, capacity requirements, etc.
Planning, designing, and analyzing A/B tests

Education & Experience

Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, etc.)

Advanced degree preferred

Additional Requirements

Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
Apple benefits programmes vary by country and are subject to eligibility requirements.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace

The base pay range for this role is between $161,700.00 and $284,900.00, and your base pay will depend on your skills, qualifications, experience, and location.

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