Senior Analytics Engineer, ASE
Location
Culver City, CA | United States
Job description
Would you like to drive the future of Apple’s products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software in the world?
The Apple Services Engineering organization owns the development and innovation on Apple’s cloud-centric products and experiences for users all over the world, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, etc. We are the foundation on which Apple’s software developers build the products that our customers love. Our multi-disciplinary data team plays a fundamental role in this mission by partnering closely with product, engineering, and business teams to develop a culture of leveraging data to inform and shape our strategy.
Key Qualifications
- 7+ years of experience building self serve data products for internal partners, or in other relevant data engineering or data science capacities.
- Excellent at working directly with business partners to understand their needs and create impactful and visually compelling data products.
- Expert with Tableau, Looker, or similar business intelligence tools.
- Experienced querying extremely large data sets and developing robust data pipelines to support reporting and other analytical use-cases.
- Analytically minded and experienced developing insights to inform strategic business questions. In-depth experience with with metric definition, productionalization, and socialization is very relevant.
- Comfortable with ambiguity and able to self-prioritize multiple workstreams in partnership with stakeholders.
- Strong communication skills.
- Preferred:
- * Experience with Python, Spark, Scala, etc.
- * Varied experience across data engineering, data science, and/or analytics.
- * Experience with developing visualizations in JavaScript, D3, etc.
- * Experience directly supporting product and / or growth teams.
Description
The Analytics Engineer role sits at the intersection of Data Science and Data Engineering, with an emphasis toward building out amazing data products (e.g. dashboards, visualizations, and other self service solutions) that push the iCloud organization forward and build better product experiences for Apple users all over the world. You will partner closely with senior leadership to develop self service tools that allow everybody to have access to relevant insights, and build the foundation of a data driven culture. You will also team closely with Data Engineers and Data Scientists to develop and provide easy access to insights and improve the overall data product offering across the team. In addition to directly developing products, we will look to you for helping guide our strategic data strategy and best practices for analytic tooling and visualization. If you love creating great analytical products and care deeply about conveying complex information in clean and concise ways to inform product strategy, this role is for you!
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
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 $161,700.00 and $284,900.00, 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. 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 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.
The Analytics Engineer role sits at the intersection of Data Science and Data Engineering, with an emphasis toward building out amazing data products (e.g. dashboards, visualizations, and other self service solutions) that push the iCloud organization forward and build better product experiences for Apple users all over the world. You will partner closely with senior leadership to develop self service tools that allow everybody to have access to relevant insights, and build the foundation of a data driven culture. You will also team closely with Data Engineers and Data Scientists to develop and provide easy access to insights and improve the overall data product offering across the team. In addition to directly developing products, we will look to you for helping guide our strategic data strategy and best practices for analytic tooling and visualization. If you love creating great analytical products and care deeply about conveying complex information in clean and concise ways to inform product strategy, this role is for you!
Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, etc.)
Advanced degree preferred
Job tags
Salary
