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Compensation Data Analytics Jobs in California (NOW HIRING)

Tenstorrent

Staff Compensation Analyst

Santa Clara, CA · On-site

$100K - $500K/yr

You will run compensation and equity review cycles, guide offer governance, strengthen the data foundation behind compensation decisions, and turn complex analysis into clear recommendations for ...

Curology

Senior Director Data & Analytics

San Diego, CA · On-site +1

The mission of the Senior Director, Data & Analytics is to build the data foundation and analytical ... Competitive compensation and equity package (RSUs) * Comprehensive benefits: Medical, dental ...

Teledyne

Sr. Compensation Analyst

Thousand Oaks, CA · On-site

$96K - $128K/yr

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 ...

Lifelong Learning

Compensation Manager

Lancaster, CA · On-site

$80K - $102K/yr

Data Analysis & Reporting: * Analyze compensation data, market trends, generates reports and prepare comprehensive analysis report using statistical methods (e.g. averages, percentages, correlations ...

10x Genomics

Senior Compensation Analyst

Pleasanton, CA · On-site

$145K - $196K/yr

Participate in compensation surveys, performs market research, analyze data, and formulates recommendations regarding the design of our compensation equity programs * Lead the annual compensation ...

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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 are popular job titles related to Compensation Data Analytics jobs in California?

For Compensation Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in California look for?

The top searched job categories for Compensation Data Analytics jobs in California are:

What cities in California are hiring for Compensation Data Analytics jobs?

Cities in California with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you

GTM Data Analytics Engineer

Together AI

San Francisco, CA • On-site

$150K/yr

Full-time

Medical

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Role
We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will help build and maintain the data infrastructure and reporting used across go-to-market, finance, and product teams, working closely with analytics colleagues across both the GTM and core data teams to deliver reliable, well-documented data products.
Responsibilities
  • Develop and maintain dashboards and reports primarily supporting GTM stakeholders, with additional use by Finance, Product, and other cross-functional teams; assist with deep-dive analyses on business performance and trends.
  • Pull and analyze data from source systems (Salesforce, Amplitude, production systems, billing) to support reporting and ad hoc requests.
  • Use SQL to extract, clean, and analyze data, with attention to correctness and efficiency.
  • Build foundational SQL and business knowledge and quickly grow into contributing to dbt models within Snowflake, following established dimensional modeling standards.
  • Partner with GTM, Finance, and Product stakeholders to understand data needs and keep reporting and definitions consistent.
Requirements
  • Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field.
  • 1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role.
  • Strong SQL skills required, with the ability to write complex, multi-step queries involving joins and aggregations; experience with dbt and/or Python is a strong plus.
  • Familiarity with a cloud data warehouse (Snowflake preferred) and BI tools (Hex, Metabase).
  • Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.
  • Excellent communication skills, with the ability to explain data findings to non-technical stakeholders.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 120K - $150K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy.

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