Analytics Engineer: Retail Store Analytics at Apple
Cupertino, CA 95014
About the Job
SummaryPosted: Role Number:200571250Imagine 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.
We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways
That innovation is inspired by a shared commitment to great work — and to each other
Because learning from the people here means we’re learning from the best
Retail Operations creates the tools and programs that empower ourteams to provide, a one of a kind, only at Apple experience
We do this by obsessing over the employee and customer experience, and driving a global strategy that sets the bar.
Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail
Leverage large and complex data sources from across Apple.DescriptionYou will partner with cross-functional teams to identify, create, 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 cross-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 contribute to the development of tools to improve business efficiency and productivity.Minimum Qualifications4+ years of related work experience in decision/data science, consulting, or other related business facing roleBachelor’s DegreeFluency in SQL and Python, including schema design and data modelingExperience building robust and scalable data processes and pipelines for modeling, analysis, and reportingPreferred Qualifications6+ years of related work experience in decision/data science, preferably in an operations roleBachelor’s Degree in related quantitative fieldExperience working with Snowflake, and pipeline tools like Airflow and dbtExperience with BI processes and some experience with dashboard tools like TableauAbility to initiate, refine, and complete projects with minimal guidanceAbility to think critically and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data productsPay & BenefitsAt 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 $112,900 and $234,700, 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
Learn more about your EEO rights as an applicant.
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.
We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways
That innovation is inspired by a shared commitment to great work — and to each other
Because learning from the people here means we’re learning from the best
Retail Operations creates the tools and programs that empower ourteams to provide, a one of a kind, only at Apple experience
We do this by obsessing over the employee and customer experience, and driving a global strategy that sets the bar.
Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail
Leverage large and complex data sources from across Apple.DescriptionYou will partner with cross-functional teams to identify, create, 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 cross-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 contribute to the development of tools to improve business efficiency and productivity.Minimum Qualifications4+ years of related work experience in decision/data science, consulting, or other related business facing roleBachelor’s DegreeFluency in SQL and Python, including schema design and data modelingExperience building robust and scalable data processes and pipelines for modeling, analysis, and reportingPreferred Qualifications6+ years of related work experience in decision/data science, preferably in an operations roleBachelor’s Degree in related quantitative fieldExperience working with Snowflake, and pipeline tools like Airflow and dbtExperience with BI processes and some experience with dashboard tools like TableauAbility to initiate, refine, and complete projects with minimal guidanceAbility to think critically and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data productsPay & BenefitsAt 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 $112,900 and $234,700, 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
Learn more about your EEO rights as an applicant.
