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Compensation Data Analytics Jobs in Calabasas, CA

Data Analytics Mgr

Thousand Oaks, CA · On-site +1

$118K - $145K/yr

Data Analytics Mgr Duties: Lead financial and resource planning by applying P&L, cash flow, and ... compensation. For more details visit What you can expect of us As we work to develop treatments ...

New

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Within this range, individual compensation is determined by a candidate's location as well as a ...

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Within this range, individual compensation is determined by a candidate's location as well as a ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... compensation and selection for training, including internships, at all levels of employment.

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... forms of compensation and selection for training, including internships, at all levels of ...

Analyze compensation data and develop reports, dashboards, and presentations for senior leadership * Ensure compliance with applicable federal, state, and local compensation regulations (e.g., pay ...

Data Analyst II

El Segundo, CA · On-site

$100 - $115/hr

... Analytics, Data Engineering, Data Sciences, Business Strategy, Product Management, Software Engineering & more.**Where we are:*** This role will be based in our El Segundo Headquarters**Compensation ...

New

... Analytics, Data Engineering, Data Sciences, Business Strategy, Product Management, Software Engineering & more. Where we are: * This role will be based in our El Segundo Headquarters Compensation ...

... Analytics, Data Engineering, Data Sciences, Business Strategy, Product Management, Software Engineering & more. Where we are: * This role will be based in our El Segundo Headquarters Compensation ...

... Analytics, Data Engineering, Data Sciences, Business Strategy, Product Management, Software Engineering & more. Where we are: * This role will be based in our El Segundo Headquarters Compensation ...

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Showing results 1-20

Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What job categories do people searching Compensation Data Analytics jobs in Calabasas, CA look for?

The top searched job categories for Compensation Data Analytics jobs in Calabasas, CA are:

What cities near Calabasas, CA are hiring for Compensation Data Analytics jobs?

Cities near Calabasas, CA with the most Compensation Data Analytics job openings:

Infographic showing various Compensation Data Analytics job openings in Calabasas, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Compensation Data & HR Systems Analyst

Los-Angeles-Lgbt-Center

Los Angeles, CA • On-site

$84.83 - $89.63/hr

Other

Retirement

Posted 19 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Compensation Data & HR Systems Analyst

Full-Time 100% AMR Campus, Los Angeles, CA, US

Salary Range: $40.76 To $43.09 Hourly

Department: People & Culture

Reports to: Director, People & Culture

Status: 100% Full-Time, Confidential, Non-exempt

Work location: Hybrid (Onsite in Los Angeles, 4 days per week)

Center’s Mission

Building a world where LGBT people thrive as healthy, equal, and complete members of society.

Department Summary

The People & Culture Department at the Los Angeles LGBT Center supports the people who make the Center’s work possible. Through talent acquisition, employee and labor relations, total rewards, HR operations, and organizational development, the department helps create a workplace where employees feel welcomed, valued, supported, and connected to the Center’s mission and to one another.

Working in partnership with employees and leaders across the organization, People & Culture fosters an equitable and inclusive environment grounded in care, trust, accountability, and respect. The team works to ensure employees have the resources, support, and opportunities they need to thrive and contribute to a strong and effective organization. At its heart, People & Culture is committed to caring for the Center’s people so they can continue caring for—and creating lasting change within—LGBTQ+ communities across Los Angeles.

Job Summary

The People Data & Systems Specialist provides analytical and technical support within the People & Culture Department, focusing on workforce and organizational analytics, process improvement, automation, and systems administration. The role develops and maintains data models, reporting tools, and workflows to support workforce planning, compensation, benefits, and organizational analysis. It administers People & Culture systems, troubleshoots technical issues, and supports process implementation without supervisory or policy‑making authority.

Essential Functions Organizational & Workforce Analytics
  • Develop and maintain workforce metrics, dashboards, organizational analyses, and reporting that support strategic and operational decision making.
  • Analyze workforce trends, organizational, and talent trends to identify risk, opportunities and emerging business needs.
  • Maintain authoritative data on positions, reporting relationships, departments, jobs, FTE, vacancies, and organizational structure.
  • Respond to approved ad hoc analytical requests with validated data and documented assumptions.
Process Improvement, Automation & Technical Implementation
  • Partner with Total Rewards Manager and functional leaders to identify and implement process improvements through standardization, automation, and workflow redesign.
  • Support development, testing, documentation, and implementation of workflows and technology solutions including Power Automate, SharePoint, Power Apps, electronic forms, dashboards, calculators, trackers, and document generation.
  • Translate business requirements into process designs, workflow solutions, technical specifications, testing plans, implementation activities, and supporting documentation.
  • Administer and continuously improve workflows and automation tools through testing, monitoring, troubleshooting, change management, user support, training, and post‑implementation evaluation.
  • Ensure technical solutions implement approved business rules without altering policy or decision authority.
Compensation, Total Rewards & Position Analytics Support
  • Provide analytical, data, systems, and process support to Total Rewards Manager for compensation, benefits, retirement programs, job architecture, job descriptions, position management, pay equity, and related initiatives.
  • Support annual and cyclical work including compensation surveys, salary reviews, benefit renewals, Open Enrollment, required reporting, audits, and vendor implementations.
  • Conduct position, organizational, and workforce analyses to support job architecture, workforce planning, compensation administration and organizational effectiveness.
  • Prepare data and scenario analyses supporting labor negotiations, compensation planning, budget development, organizational changes, benefit renewals, vendor evaluations, and executive decision‑making.
  • Escalate market‑matching conclusions, compensation recommendations, classification decisions, plan interpretation, appeals, compliance determinations, sensitive employee matters, and organizational recommendations to Total Rewards Manager or responsible leader.
People Systems Administration & Technical Support
  • Administer People & Culture technology platforms including ADP Workforce Now, job description and position management systems, ServiceDesk, SharePoint, Microsoft Power Platform, reporting tools, and other employee‑service systems.
  • Ensure effective operation of People & Culture systems by maintaining system configuration, security, workflows, and data integrity, while providing technical support, system documentation and coordinating issue resolution and escalation.
  • Support technology adoption through training, technical assistance, guidance, and development of self‑service resources.
Data Governance, Department Enablement & Project Support
  • Prepare, validate, and maintain data and documentation supporting audits, regulatory reporting, surveys, vendor partnerships, and organizational projects.
  • Manage intake, tracking, prioritization, and status reporting for approved analytics, systems, automation, and data‑support requests coordinated by People & Culture leadership.
  • Develop and maintain documentation, training materials, user resources and provide analytical and technical project support across People & Culture functions while ensuring appropriate confidentiality, privacy and retention standards.
Non‑Essential Functions
  • Perform other duties as assigned
Decision‑Making Scope

Makes independent decisions related to data analysis, system configuration, process design, quality assurance, and technical implementation within approved policies and procedures. Does not have authority to alter policies, make staffing, budgetary, or strategic decisions. Escalates decisions involving compensation recommendations, classification, compliance, or sensitive employee matters to responsible leaders.

No formal supervisory responsibilities. Coordinates workflows and supports staff implementation in collaboration with managers and functional leaders.

Required Qualifications
  • Minimum three years of progressively responsible experience in workforce or organizational analytics, compensation analysis, HR technology, process automation, HR operations, or closely related function; three to five years preferred.
  • Bachelor’s degree in human resources, business administration, information systems, data analytics, organizational studies, or related field, or equivalent combination of education and experience.
  • Advanced spreadsheet and data‑management skills including data cleaning, validation, reconciliation, complex formulas, pivot tables, scenario modeling, and repeatable reporting.
  • Experience with Power BI, Power Query, Power Platform, SharePoint, Tableau, or comparable tools.
  • Experience administering or supporting HRIS, HCM, compensation, benefits, job description, position management, applicant tracking, or comparable enterprise systems.
  • Ability to gather requirements, map and improve processes, document technical and data needs, test solutions, troubleshoot problems, and support implementation.
  • Experience with ADP Workforce Now.
  • Workforce and organizational analytics, compensation and benefits administration, job architecture, workforce planning, organizational structures, HR operations, employee lifecycle processes, data privacy requirements, and LGBTQ+ community cultural competency.
Preferred Qualifications
  • Experience supporting compensation analysis, pay equity review, salary structures, market pricing, benefits administration, job architecture, position management, workforce planning, or organizational analytics.
  • Experience producing organizational charts, spans‑and‑layers analyses, workforce scenarios, headcount or vacancy models, workforce‑cost models, or executive dashboards.
  • Experience in nonprofit, health care, social service, unionized, or similarly complex and mission‑driven organizations.
  • Experience implementing AI‑enabled workflow or analytics solutions.
  • Experience with Built and CompAnalyst platforms.
  • Experience with Microsoft 365, SharePoint, Power Apps, Power Automate, Power BI, Power Query, SQL, system integrations, or structured data exchange.
  • Relevant HR, Power Platform, Power BI, data analytics, or process improvement certification is desirable.
Physical Requirements

Prolonged sitting with regular computer use; sustained attention to detailed data and system information; communication with employees and external partners; occasional movement throughout the workplace; occasional lifting or carrying of office materials. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Work Environment / Scheduling Requirements

Primarily office or hybrid work environment; participation in virtual and in‑person meetings; handling of highly confidential information; exposure to interruptions and fast‑paced environment; cross‑functional collaboration; reasonable accommodations available for individuals with disabilities.

The Los Angeles LGBT Center is an Equal Opportunity Employer and is committed to fostering diversity within its staff. Applications are encouraged from all persons regardless of their race, color, ancestry, national origin, sexual orientation, gender identity and expression, sex, pregnancy, childbirth and related medical conditions, religion, disability, age, military or veteran status, including status as a victim of domestic violence, assault or stalking, genetic information (including family medical history), political affiliation or activities, medical or health conditions, or marital status.

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