Compensation Analyst-Contract

Altera

Last Updated: 4/13/2026 6:04:27 PM

Position Closed

Live Market Data for this Exact Role

These metrics reveal the true, unfiltered history of this specific position. We track the exact number of days the requisition has been active and monitor real salary range fluctuations over time, helping you verify compensation trends before applying.

Current Days Open
67
Reqs Seen
1
Current Min Salary
$90,000.00 (Yearly)
Current Max Salary
$130,000.00 (Yearly)
Historical Time to Fill
67
First Seen
2/6/2026
Lowest Min Salary Seen
$90,000.00 (Yearly)
4/13/2026
Highest Max Salary Seen
$130,000.00 (Yearly)
4/13/2026

Full Job Description

Job Details: Job Description: Join Altera as a Compensation Analyst! We are looking for a contractor for 9 months to support our compensation team. Key Responsibilities Collaborate with HR Business Partners and Talent Acquisition to provide compensation guidance during hiring, promotion, and organizational planning processes. Participate in compensation surveys, analyze results, and synthesize insights to inform compensation program design and market positioning. Analyze job roles, salary data, compensation structures, and workforce trends using advanced data analysis techniques to support equitable pay decisions and broader compensation strategy. Support Workday enhancements related to compensation by partnering with HRIS, testing system updates, identifying improvement opportunities, and validating ongoing data integrity. Conduct ongoing data audits to ensure accuracy of job, pay, and employee data across HR systems, driving continuous improvement in data quality and process reliability. Maintain, update, and audit compensation databases, tools, and systems to ensure accuracy, consistency, and usability. Salary Range The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance. $90K - $130K USD We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations. Qualifications: Bachelors Degree in Human Resources, Business, Finance, or related field. 2 - 5 years of experience in compensation analysis or related HR role. Strong analytical skills with proficiency in Excel and HRIS systems. Familiarity with compensation survey tools (e.g., Radford, Mercer, Willis Towers Watson). Knowledge of FLSA, EEOC, and other relevant labor laws. Excellent communication skills. Job Type: Contract Employee (Fixed Term) Shift: Shift 1 (United States of America) Primary Location: San Jose, California, United States (Remote) Additional Locations: Arizona, United States (Remote), Austin, Texas, United States (Remote), Oregon, United States (Remote) Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. About Altera Altera: Accelerating Innovators Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet. Don't see the dream job you are looking for? Click "Get Started" below to drop off your contact information and resume and we will reach out to you if we find the perfect fit.

Similarity vs. Compensation Matrix

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