Apple

Support Operations Data Analyst, Employee Experience & Productivity, IS&T

Sunnyvale

Sponsorship not specifiedDetected 8 hours ago

Data ScienceCustomer Support

Stay score

odds of building a lasting career here

42Risky

Cap-exempt (no lottery)0

Sponsors this role100

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 38%

Of 13 labor certifications old enough to have been used, 8 expired without the employer filing the next step. Median time from filing to decision: 383 days.96% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

785 transfer filings in the last year, covering 785 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

The difference between data and intelligence is context.
This role enriches data with business context to produce insights that enable intelligent decisions.
Join Apple's Information Systems and Technology (IS&T) organization, the engine powering Apple.

Responsibilities

As a member of the Employee Productivity & Support Data Science team, you will use data to improve how Apple delivers technical support to its employees.
You will pull and prepare data from multiple systems, build dashboards and visualizations, and conduct analyses that help IT support leaders understand operational performance and make informed decisions.

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This listing is sourced directly from Apple's careers page and normalized into a canonical job model.