Senior Data Analyst (AR)

Panda Restaurant Group

UShybrid$90k-$127k/yrPosted Jun 19, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

About the role

Summary of Job Description:

The Senior Data Analyst develops and maintains HR metrics, reports, and analytics. This position is also responsible for HR system administration, data integrity, process efficiency, and HR reporting. The Senior Data Analyst works with the HR Data, Field HR & Associate Relations teams to develop periodic and quarterly reporting, metrics and measurements, as well as ad-hoc reporting as needed. This job collaborates with and recommends solutions and insights to the various HR teams to optimize and streamline HR processes and assess people performance and project results.

Job Responsibilities:

Partners with business partners, Field HR, and Associate Relations subgroups to identify data needs

Develops actionable insights related to HR data, including but not limited to retention, turnover, performance, and associate relations investigations

Presents findings and data in a compelling and easy-to-understand narrative useful to non-technical audiences and cross-functional stakeholders

Is responsible for the implementation, maintenance, and data integrity of HR systems and reporting tools such as people dashboards and the case management system

Develops a comprehensive tracking system for HR recruiting and training efforts, including the ability to track individual associate development journeys

Conducts ad hoc reporting to support evolving business needs and data requests

Collaborates with and recommends solutions to various HR teams based on data and insights

Undertakes extensive and innovative data analysis using people metrics to identify trends and patterns as the basis for determining HR needs

Develops and maintains HR metrics, reports, and analytics

Performs backend analysis of people metrics and case management data

Develops various data models to evaluate and assess project and people performance

Works with HR leadership on retention, turnover, and management style initiatives

Flags complaint trends

Provides data to support more informed decision-making by Operations leaders and Field HR

Identifies clear metrics and measures of success in HR training and retention

Supports continuous improvement in HR training by influencing process design and elevation

How we reward you:

Hybrid Work schedule

401K with company match

Yearly bonus opportunity

Full medical, dental, and vision insurance

On-site fitness center, biometric screen, and flu shot clinic

Discounts at Panda restaurants, theme parks, and gym memberships

Paid time off starting at 15 days with 7 federal holidays

Continuous education assistance and scholarships

Income protection including Disability, Life and AD&D insurance

Bereavement leave

Benefits available for eligible permanent full time associates

Your background and experience:

Bachelor’s degree required (Data Analytics, Statistics, Finance or Computer Programming preferred)

5+ years of experience in Human Resources, financial analysis or IS

Successful completion of initial and periodically required trainings.

Obtaining a valid Food Handler's Card within 30 days of employment is a requirement of this position.

Pay Range: P3: $90,000 - $126,500 / Annual

Within the range, individual pay is determined using various factors, including work location and experience.

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#LI-Hybrid

Panda Strong since 1983:

Founded in Glendale, California, we are now the largest family-owned American Chinese Restaurant concept in America. With close to 2,800 locations globally, we continue our mission of delivering exceptional Asian dining experiences by building an organization where people are inspired to better their lives. Whether it’s impacting our team or the communities we work in, we’re proud to be an organization that embraces family values.

You’re wanted here:

Compensation

This Data Analyst role pays $90k-$127k/yr. Within typical range for data analyst roles in United States.

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