Entry Level Apple Data Analyst Jobs (NOW HIRING)

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.
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and implement optimum data structures in the appropriate data management system including Teradata, Oracle, Big Data Technologies and Snowflake. Identify and understand the data sources Data sources which have both structured & unstructured data that are relevant to the business problem. Collaborate to understand the business requirements, system architecture and data demographics with Data scientists, Business analysts to build new metrics and analysis tools. Build robust data pipelines and models by processing, cleansing, and verifying the integrity of data used for analysis. Develop data-set processes for data discovery, modeling, mining and archival. Extract and process data using Python, Shell scripting, complex SQL and calling rest APIs. Perform complex data analysis with large volumes of data using tools like Tableau, Spark, Business objects, ThoughtSpot. Develop ETL solutions using PL/SQL and stored procedures which would adhere to Apple's data security standards. Build reports and dashboards with Tableau, Business Objects. Identify opportunities and contribute ideas for automation and work closely with enablement teams on how to continuously improve speed and quality of solutions. Explore and adopt to new technologies which would solve the problem. 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 $181,100 - $272,100/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 Software Engineering, Computer Science, or related field and 2 years of experience in the job offered or related occupation.2 years of experience with each of the following skills is required:Building robust data pipelines & data models to design and implement optimum data structures in the appropriate data management system including Teradata, Redshift, Oracle, Big Data Technologies and Hadoop Ecosystem.Utilizing Python and Unix shell scripting to build data pipelines, Automation, and Scheduling.Designing and developing dashboards using Tableau to have analytics insights of the data.Developing reusable modules to create reausable data-set processes for data discovery, modeling and mining.Using SQL to build ETL solutions for a large volumes of dataDesigning, Developing, Deploying solutions following the SDLC coding standardsDeveloping ETL solutions which would adhere to data security and standards of the company in order to maintain Enterprise Data security.Using Dremio or other tools for ad hoc data analyticsUsing Tableau for data visualizations and reportingUsing Business Objects or other tools for detailed excel based reporting.Using SQL & developing scripts in python for data analysis & data profiling.
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