Analytics Engineer: Retail Store Analytics

Analytics Engineer: Retail Store Analytics

Austin,Texas,United States

Corporate Functions

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. 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 our teams 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 Analytic steam, 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.

Description

You 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 Qualifications

• 4+ years of related work experience in decision/data science, consulting, or other related business facing role

• Bachelor's Degree

• Fluency in SQL and Python, including schema design and data modeling

• Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting

Key Qualifications

Preferred Qualifications

• 6+ years of related work experience in decision/data science, preferably in an operations role

• Bachelor's Degree in related quantitative field

• Experience working with Snowflake, and pipeline tools like Airflow and dbt

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

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

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

Education & Experience

Additional 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.Learn more about your EEO rights as an applicant. (~~~)

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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 (Opens in a new window) .

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