Business Intelligence Analyst

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Develop data engineering and data analytics solutions for critical projects in online retail. Prioritize key analytic/data science opportunities within the program, coordinated with other engineering partners. Measure and track analytics improvements against key performance indicators. Develop machine learning approaches to data attribution and labeling for use in ML systems. Data engineering pipeline development to facilitate the summarization and movement of data regularly to support critical program needs. Experimentation of data science techniques to assist ML teams with forecasting, classification, and prediction projects. 40 hours/week. 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 $140,901 - $185,000/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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.

• Master's degree or foreign equivalent in Economics, Mathematics, Data Analytics, Business Analytics, Software Engineering or related field and 1 year of experience in the job offered or related occupation.
• 1 year of experience with each of the following skills is required:
• Utilizing Snowflake SQL and Splunk to manage datasets and create business metrics.
• Applying Tableau to visualize Key Performance Indicators (KPIs)
• Designing real-time dashboards using Splunk, Snowflake, and Tableau to monitor product launches.
• Building automated ETL pipelines with Python, Teradata, Snowflake, and SQL to tailor business reporting.
• Scaling training data with Snorkel Python package's weak supervision heuristics for machine learning models.
• Querying historical data with PySpark to support load testing
• Managing source code with GitHub, focusing on CI/CD workflows
• Performing A/B testing teams in hypothesis formulation, data collection, metrics and design.
• Improving NLP in Python with GPU for web page machine translation
• Developing user-interactive tools using the Streamlit Python library for chat attribution analysis.
• Conducting validation tests on Snowflake data pipelines

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