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Salary
≈ $29k – $56k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 7, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.

Team up with Apple, one of the most influential technology leaders in the industry. Join the Apple Finance organization and make a positive impact, where you will share in a commitment to excellence by partnering with world-class teammates, all with one unified vision - creating innovative products that delight customers. Finance is about "fueling innovation". We do this by hiring quality individuals with integrity and personal accountability, who value teamwork, work product excellence and proactive thinking. As part of this group, you will play an integral role in ensuring our day-to-day financial health. You and your team will support Apple's growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. You'll also collaborate with Apple teams across the world to develop more effective investment strategies and risk management. Finance is important to upholding our global dedication to perfection, and it is directly responsible for shaping the company's future. If you share these values and want to be part of something big, contact us today.

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The Global Payroll Services team is seeking an experienced Business systems analyst with strong data automation capabilities to provide timely, accurate, and comprehensive payroll support for multiple countries.

Description

Provides high quality customer service to both internal and external groups

Work with business users, payroll managers, and vendors to gather, define, and document functional requirements for SAP technical solutions and non SAP payroll systems

Master data management and data audits for payroll

Knowledge of PWC/ non-SAP payroll to manage

Payroll Managed service model experience

Daily support of payroll on monitoring, testing, and performance issues

Analyses and explains all components of payroll processing

Identifies, analyses, researches and resolves errors and discrepancies between Apple’s internal HR/Employee systems and the payroll system to ensure accurate system status prior to payroll processing

Ensures all documentation is properly updated and supported according to company policies, procedures, regulatory practices and legal requirements

Solves day-to-day operational problems of varied scope and complexity

Design and implement automated data workflows using Dataiku to streamline payroll data processing and validation

Develop and maintain Tableau dashboards for real-time payroll metrics, trends analysis, and executive reporting

Apply machine learning techniques to identify patterns, predict payroll anomalies, and optimize payroll processes

Automate data quality checks and reconciliation processes between multiple payroll systems

Supports global peers, acting as a back-up or additional resource for audits, error handling, and payroll processing in the AMR/ EMEA/ APAC regions

Handling of confidential data and understanding of responsibility

Assists other analysts when needed

Minimum Qualifications

Technical knowledge of payroll systems and processes relevant to system functionality being supported by Apple - Employee Systems, Kronos, ADP Global view Payroll, PWC payroll

Hands on experience in dealing with integrations such as GL Postings, Stock, Benefits, Banking and other 3rd party connections

Familiarity with the Payroll modules in the system like SAP HR, PWC and other payrolls

Workday process and integration with payroll system knowledge, preferred

Support Global Payroll systems for technical defects, enhancements or regular maintenance for Payroll Operations/Processing teams on system issues

Interfaces: Manual G2 creation for massive uploads and Maintain G2 configuration interface (internal and external)

Functional payroll knowledge of global countries

Create and update system issues tickets as needed, hold regular calls with IS&T, ADP and business partners to communicate & monitor issue closure

Participate in cross-functional testing by creating scenarios, executing test cases, help signing-off and moving changes to production

Providing consulting in system behavior queries and configuration support as needed for Comp services

Strong communication skills with different partners, internal & external

Manage timely communications on critical issues to leadership regarding system and customer impacts

Availability to work outside business hours to support payroll processing times

Education - Qualifications are generally met by someone who has a technical Bachelor’s degree or 5+ years of experience in similar roles.

Preferred Qualifications

Experience working for large MNC s as support or implementation consultant

Experience supporting or implementing multiple country payrolls in SAP and non-SAP

Basic understanding of data automation platforms, particularly Dataiku for building and deploying data pipelines and workflows

Basic understanding of Tableau for creating interactive dashboards and data visualization for payroll analytics and reporting

Basic understanding of basic AI/ML models including predictive analytics, classification algorithms, and anomaly detection for payroll data analysis

Basic understanding in automating repetitive payroll processes using data science tools and techniques

Experience in driving automation and process improvements

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