Job Description

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Apple is a place where extraordinary people gather to do their lives best work. The Business Intelligence Analyst will develop data engineering and analytics solutions for critical online retail projects while collaborating with engineering partners to prioritize data science opportunities. Responsibilities: • 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. Qualifications: Required: • 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 utilizing Snowflake SQL and Splunk to manage datasets and create business metrics. • 1 year of experience with applying Tableau to visualize Key Performance Indicators (KPIs). • 1 year of experience with designing real-time dashboards using Splunk, Snowflake, and Tableau to monitor product launches. • 1 year of experience with building automated ETL pipelines with Python, Teradata, Snowflake, and SQL to tailor business reporting. • 1 year of experience with scaling training data with Snorkel Python package's weak supervision heuristics for machine learning models. • 1 year of experience with querying historical data with PySpark to support load testing. • 1 year of experience with managing source code with GitHub, focusing on CI/CD workflows. • 1 year of experience with performing A/B testing teams in hypothesis formulation, data collection, metrics and design. • 1 year of experience with improving NLP in Python with GPU for web page machine translation. • 1 year of experience with developing user-interactive tools using the Streamlit Python library for chat attribution analysis. • 1 year of experience with conducting validation tests on Snowflake data pipelines. Company: Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, California, USA, with a team of 10001+ employees. The company is currently Public Company. Apple has a track record of offering H1B sponsorships.

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