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Location
In office (Shanghai)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Aug 5, 2026. Apple scores A on the Alion truth index.

Overview
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple's employees are able to do the best work of their lives.

The People Analytics team is looking for a versatile, self-driven developer who has hands-on depth across data analysis, business analysis, and analytics product development, to craft, implement, and operate solutions that have direct and measurable impact to the teams that support our people. This is a rare opportunity to be part of a dynamic team delivering analytics capabilities across the people domain, in the areas of recruitment, employee relations, people survey, talent planning, and a number of other strategic focus areas for the organisation.

As a professional who combines deep analytics capability with strong business analysis instincts, working with a diverse team of experts, imagine what you could do at Apple.

Description

The Business Analytics Developer will play a pivotal role in the team, working with data from the Apple enterprise data warehouse across multiple systems in the Apple HRIS landscape to derive powerful insights for leadership, and build analytics products that drive a positive employee experience across Apple. You translate complex, often ambiguous business questions into structured analytical approaches, combining strong data analysis with clear, compelling visualisations, and communicating findings in a way that directly shapes decisions. You operate with a high degree of autonomy, bringing curiosity, structure, and stakeholder confidence to every engagement.

Minimum Qualifications

7+ years of experience developing and maintaining analytics products and reports, using Tableau or other analytics visualisation tools, that identify meaningful data insights and drive decisions.

Strong data analysis and business analysis skills - able to frame a business question, identify the right data, apply appropriate analytical methods, and communicate findings with clarity.

Demonstrated ability to translate high-level, often vague business requirements into a tangible prototype to drive discussion and further iterations toward the right solution.

Strong SQL expertise and solid working knowledge of Snowflake, MySQL, and PostgreSQL - including schema design, query optimisation, and developing optimised data sets for analytical and operational products.

Working knowledge of Python scripting for data processing, automation, and connecting Tableau to data sources including Snowflake.

Ability to work independently, research newer technology areas, and innovate to produce the best analytics outcome in a given situation.

Active team player with strong collaboration and communication skills - able to partner cross-functionally across analytics, engineering, and business teams globally and ensure visibility into the work being done.

Comfortable managing multiple priorities, setting stakeholder expectations appropriately, and proactively assessing incoming work to take the right action.

Fosters a positive, humble, and open culture in teams, consistently exhibiting Apple values of inclusion, trust, and respect for others.

Preferred Qualifications

Bachelor's or Master's degree in a quantitative or business field - Computer Science, Information Management Systems, Data Science, Business Analytics, or a related discipline; equivalent professional experience will be fully considered.

Knowledge of Python data processing and analysis libraries such as NumPy and Pandas - applied to data preparation, statistical analysis, and augmenting Tableau analytics products with programmatic data transformations.

Familiarity with HR analytics and reporting tools for measuring HR performance and employee satisfaction across the hire-to-retire lifecycle.

Experience with the application of AI-assisted analytics tooling to improve the speed and quality of people insights.

Experience working with employee data and HR systems in a large enterprise environment.

Experience working across multiple geographies and cultures within a global organisation.

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