Senior Payroll Business Analyst, Data & Reporting

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is looking for a Senior Payroll Business Analyst, Data & Reporting

based in Renton Washington or Hazelwood, Missouri. Candidates that live near one of the following locations will also be considered. Relocation assistance is NOT available.

Additional locations:

* Alabama:
Huntsville

* Arizona:
Mesa

* California:
El Segundo, Huntington Beach

* Pennsylvania:
Ridley Park

* South Carolina:
North Charleston

* Texas:
Plano

* Virginia:
Arlington

* Washington:
Everett, Renton or Seattle

The Senior Payroll Business Analyst, Data and Reporting, is a hands-on senior payroll team member and data expert and builder who works as part of the larger payroll team using data management methodology to drive best practices.

Do cool things:

Boeing delivers one of the largest and most complex payrolls in the world. We are on a focused journey of system modernization and operational effectiveness to deliver accurate, on-time pay for Boeing employees and empower the business with clear, reliable payroll and timekeeping data, analytics, and reporting that drive compliance, operational excellence, and faster decision-making.

Why this role matters

Payroll data and reports are the single source of truth for payroll operations, HR, Finance, and auditors. This role ensures data flows correctly end-to-end (Finance → HRIS → Timekeeping → Payroll → General Ledger (GL)), builds the reporting and metrics structure the team relies on, shortens incident resolution, and demonstrates payroll value through actionable insights.

What we do

* Own payroll data integrity, end-to-end mapping, reconciliations, and recurring/ ad-hoc reporting for payroll and timekeeping systems

* Design and maintain dashboards and Key Performance Indicators (KPIs) that surface exceptions, trends, and compliance risks

* Act as the payroll data Subject Matter Expert (SME) and first escalation point for data, reporting, and metrics issues

* Define data requirements and validate outcomes for system changes, integrations, and payroll deploys

* Train payroll operations and partners to read, use, and trust payroll data and reports

Primary Responsibilities:

Data Strategy & Governance

* Define and maintain payroll data models, mappings, and lineage from source to GL

* Create and maintain data dictionaries, component code files, and change logs

Reporting & Analytics

* Build dashboards, KPIs, reconciliations, and variance analyses to monitor payroll accuracy and Service Level Agreements (SLAs)

* Produce recurring and ad-hoc reports for Payroll, HR, Finance, and Audit

Operational Support & Issue Resolution

* Troubleshoot data and reporting incidents, lead root-cause analysis (RCA), implement fixes, and prevent recurrence

* Own data/reporting-related incident lifecycle

Systems, Testing & Deployments

* Define data requirements for Project work requests (PWRs)/changes, author User Acceptance Testing (UAT) test plans and data scenarios, validate post-deploy data outcomes, and support stabilization

* Configure reporting layers and support integrations (transmit, feeds to GL, timekeeping interfaces)

Training & Knowledge Transfer

* Create training materials, run operational training sessions, and mentor payroll specialists to improve data literacy and self-service reporting

Continuous Improvement

* Identify automation opportunities, simplify processes, and standardize reporting to reduce manual work and errors

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

* 5+ years of experience in data analytics and/or business intelligence

* 5+ years of experience in data analysis and Root Cause Corrective Action (RCCA)

* 5+ years of experience leading stakeholders in analysis of process data, metrics, models…