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Visier Jobs in California (NOW HIRING)

Contribute to and take growing ownership of our data engineering stack: dbt models in BigQuery, staging layers from sources like Rippling, Ashby, and Visier, and event-grain models that capture ...

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$14

$26

$61

How much do visier jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for visier in California is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $27.07 per hour, depending on experience, location, and employer.

What is a Visier analyst?

A Visier Analyst is a professional who specializes in using Visier, a leading people analytics and workforce planning platform, to analyze HR data and provide actionable insights. They help organizations make data-driven decisions about their workforce by interpreting complex datasets, creating reports, and identifying trends related to employee performance, retention, and engagement. Visier Analysts often work closely with HR, data, and business leaders to support strategic initiatives and improve organizational outcomes.

What are the key skills and qualifications needed to thrive as a Visier analyst?

To thrive as a Visier Analyst, you need a solid background in data analytics, HR analytics, and experience with business intelligence platforms, typically supported by a degree in data science, HR, or a related field. Proficiency in the Visier People platform, data visualization tools, and familiarity with SQL or similar data querying languages is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for translating complex data insights into actionable HR strategies. These competencies ensure valuable, data-driven decision-making that supports organizational goals and workforce optimization.

How does a Visier analyst typically collaborate with HR and business leaders to drive data-driven decision making?

As a Visier Analyst, you’ll work closely with HR professionals and business leaders to analyze workforce data and translate insights into actionable strategies. Collaboration often involves participating in meetings to understand stakeholders’ goals, designing reports or dashboards tailored to their needs, and providing guidance on interpreting analytics results. You’ll serve as a bridge between technical data capabilities and business objectives, ensuring that data-driven recommendations are both practical and aligned with organizational priorities. This collaborative approach helps foster a culture of evidence-based decision making across the company.

What is the difference between Visier vs Data Analyst?

AspectVisierData Analyst
Primary RoleHR analytics platform for workforce insightsAnalyzing data to support business decisions
Required SkillsData analysis, HR metrics, software proficiencyData analysis, Excel, SQL, visualization tools
Work EnvironmentHR departments, analytics teamsBusiness units, data teams
CertificationsNone specific, often familiarity with analytics toolsData analysis certifications (e.g., Microsoft, SQL)

Visier is a specialized HR analytics platform used by HR teams to gain workforce insights, while Data Analysts focus on analyzing various data sets across departments to inform business decisions. Both roles require data analysis skills, but Visier emphasizes HR metrics and workforce data, whereas Data Analysts work with broader data sources and tools.

What job categories do people searching Visier jobs in California look for?

The top searched job categories for Visier jobs in California are:

What cities in California are hiring for Visier jobs?

Cities in California with the most Visier job openings:

Infographic showing various Visier job openings in California as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 58% Physical, 9% Hybrid, and 33% Remote job distribution, with an average salary of $54,182 per year, or $26 per hour.

Full-time

Re-posted 18 days ago


Job description

Data Analyst - Workplace Experience

We entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard. That's why we employ the most creative, passionate people in the industry.

The Challenge Ahead

The Workplaces team oversees workplace environments and the related employee experience globally and supports and maintains spaces that are vibrant, fresh, branded, and inspiring. The team also provides relevant programs that differentiate us as an employer of choice and support EA's ability to attract and retain the talent needed to power our Company.

Workplace Experience Is Focused On Services And Programs That

  • Directly impact employee effectiveness
  • Provide a healthy physical office environment
  • Create a consistent physical setting and workplace experience globally while reflecting local culture
  • Build community and connectedness among our people
  • Directly help foster our values
  • Apply best practices in environment design

Workplace Experience is going through an exciting time as we redefine the future of EA's workforce and implement our new ways of working. As a Data Analyst you will focus on discovering trends, identifying risks and constraints, providing recommendations, being an advisor to the WE senior leadership team. You will apply your modeling skills to develop forecasts and insights to improve existing workplaces to create an amazing employee experience as we evolve our future workplace model. You will wrangle data across multiple data sources, apply the right models, and visualize insights for senior leaders and partners.

You'll also learn new systems, tools, and bring industry best practices to analyze big data and enhance our workplace analytics.

You will report to the Senior Manager for the Workplace Experience Program Management Office.

Key Responsibilities

  • Communicate complex analysis and concepts and provide readable dashboards to surface relevant insights with clear narratives to senior leadership and non-technical partners
  • Develop forecasting models to understand EA's future ways of working and the evolution of our workforce - focusing on headcount predictions, office attendance and other human capital analyses
  • Work with program managers and leadership to determine business problems and use statistical analysis, simulations, predictive modeling, or other methods to analyze and develop practical solutions
  • Advocate for the importance of data-driven decision-making and build relationships with partners who rely on people data to ensure understanding on needs, definition of metrics and ways of working
  • Champion for data quality, creating policy and implementing monitoring solutions to ensure compliance
  • Perform research, assemble and integrate data from multiple sources, conduct analyses, design and implement analytical solutions
  • Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.
  • Maintain data repositories, interfaces and protocols

What We're Looking For

  • Minimum of bachelor's Degree in Data Science, Applied Mathematics, Architecture or Engineering with an emphasis on quantitative methods
  • 3+ years in a past data analyst role (or similar) that involved thinking of big pictures, suggesting changes to process, identifying risks and potential opportunities for data improvement
  • Communicate with non-technical partners
  • Expert SQL including experience querying complex data sets
  • Data Analysis- spreadsheet mastery including VBA, PivotTables, and array functions - or similar tools used for discovering data patterns and correlations through statistical methods
  • Manage and facilitate collaborations with global partners
  • Customer-centric skills - able to engage with business and IT partners to discover requirements for Business Intelligence solutions
  • Storytelling and project management skills - direct experience with data visualization tools such as Power BI or Tableau.
  • Understanding of network and data privacy requirements with knowledge of integrity and security tools
  • Experience with Workday, Visier, CCure, and FMI a plus
  • Experience working with human capital data