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Performance Improvement Data Analyst Jobs in Riverside, CA

Document processes and contribute to continuous improvement initiatives. Project Support: * Support ... Key Performance Indicators (KPIs): * Data Accuracy: Percentage of master data records meeting ...

Document processes and contribute to continuous improvement initiatives. Project Support: * Support ... Key Performance Indicators (KPIs): * Data Accuracy: Percentage of master data records meeting ...

Conducts analysis/audit/review of warranty data/costs and provides detailed reporting for product/process improvement as needed; expands root problem analysis; proposes insights and solutions for ...

Marketing Data Analyst

Irvine, CA · On-site

$40 - $45/hr

Marketing Data Analyst The client is looking for a Marketing Data Analyst (contract) to support content performance tracking, reporting, and insights development for multiple social content and ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical ...

Pricing Analyst

Santa Ana, CA · On-site

$39.22 - $43.27/hr

... performance variances. * Conduct root cause analysis on pricing or profitability issues and provide actionable recommendations for improvement. Data Management & Integrity * Ensure pricing data ...

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Performance Improvement Data Analyst information

See Riverside, CA salary details

$52.2K

$90.6K

$156K

How much do performance improvement data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for performance improvement data analyst in Riverside, CA is $90,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $99,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Performance Improvement Data Analyst, and why are they important?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

What does a performance improvement analyst do?

A performance improvement analyst evaluates organizational processes and data to identify inefficiencies and develop strategies for enhancing productivity and quality. They analyze performance metrics, often using tools like Excel or data visualization software, and recommend actionable solutions to management. This role requires strong analytical skills and knowledge of process improvement methodologies such as Lean or Six Sigma.

How does a Performance Improvement Data Analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

Is 40 too late for data science?

For a Performance Improvement Data Analyst, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through online courses or certifications can enhance job prospects regardless of age.

Is a data analyst still worth it in 2026?

Performance Improvement Data Analysts remain valuable as organizations continue to rely on data to optimize processes and decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Excel are essential, and demand is expected to stay steady due to ongoing digital transformation efforts.

What does a performance data analyst do?

A performance data analyst collects, analyzes, and interprets data related to organizational performance to identify trends and areas for improvement. They use tools like Excel, SQL, or data visualization software to create reports and support decision-making processes, often working closely with management and other departments.

What is a Performance Improvement Data Analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.
What are popular job titles related to Performance Improvement Data Analyst jobs in Riverside, CA? For Performance Improvement Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Performance Improvement Data Analyst jobs in Riverside, CA look for? The top searched job categories for Performance Improvement Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Performance Improvement Data Analyst jobs? Cities near Riverside, CA with the most Performance Improvement Data Analyst job openings:
Compensation Data Analyst - Contract

Compensation Data Analyst - Contract

Temco Logistics

Pomona, CA • On-site, Remote

$30 - $35/hr

Full-time

Posted 9 days ago


Temco Logistics rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

37th of 62 rated delivery companies


Job description

We are seeking a Compensation Data Analyst to play a critical role in evaluating and evolving our pay structure. This position will analyze current compensation practices, benchmark against market and industry standards, and help transition from a performance-based model to a competitive hourly pay structure-ensuring we remain both attractive to talent and financially sustainable.
This role will partner closely with HR, Operations Excellence, and Recruiting to develop data-driven compensation strategies that support business goals, improve retention, and maintain operational profitability.
Key Responsibilities
  • Compensation Analysis & Benchmarking
    • Evaluate current pay structures, including piece-rate models and performance-based earnings
    • Conduct market analysis to benchmark compensation against competitors and industry standards
    • Identify gaps, risks, and opportunities in current pay practices
  • Pay Model Transition (Piece-Rate → Hourly)
    • Lead analytical efforts to support transition to hourly base pay
    • Model different compensation scenarios (hourly rates, incentives, productivity adjustments)
    • Ensure new structure remains competitive, equitable, and aligned with business margins
  • Data Modeling & Insights
    • Build financial and workforce models to assess impact of compensation changes
    • Analyze productivity, labor cost, and profitability metrics
    • Provide actionable insights and recommendations to leadership
  • Cross-Functional Collaboration
    • Partner with HR Director on compensation strategy and compliance
    • Work with Operations Excellence to align pay with performance, efficiency, and productivity metrics
    • Collaborate with Recruiting to ensure pay structures support hiring competitiveness and candidate attraction
  • Reporting & Communication
    • Develop dashboards and reports on compensation trends, labor costs, and ROI
    • Present findings and recommendations to leadership in a clear, concise way
    • Translate complex data into practical business decisions
  • Continuous Improvement
    • Monitor effectiveness of updated pay structure post-implementation
    • Recommend ongoing enhancements to maintain competitiveness and profitability
    • Stay current on compensation trends, labor laws, and industry best practices
Qualifications
  • High School Diploma required
  • Bachelor's degree in Finance, Human Resources, Data Analytics, or related field
  • 2+ years of experience in compensation analysis, workforce analytics, or financial modeling
  • Strong experience with:
    • Compensation benchmarking tools and market data
    • Excel (advanced), data modeling, and reporting tools
    • Translating complex data into actionable insights
  • Experience with incentive-based or productivity-based pay models strongly preferred
  • Understanding of labor cost structures, margins, and operational efficiency
Key Skills
  • Analytical and highly detail-oriented
  • Strong business acumen with ability to balance competitiveness and profitability
  • Ability to influence and collaborate across departments
  • Clear and confident communication skills
  • Problem-solver with a continuous improvement mindset
What Success Looks Like in This Role
  • Successfully develops a competitive hourly compensation model that improves hiring and retention
  • Ensures labor costs remain aligned with operational and financial goals
  • Provides leadership with clear, data-backed recommendations
  • Builds strong partnerships across HR, Operations, and Recruiting

What Temco Logistics employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Temco Logistics

Sourced by ZipRecruiter

Temco Logistics is a premier, white glove solutions provider delivering and installing home goods since 1968. Headquartered in Pomona, California, the company has fulfilled millions of residential and commercial deliveries for some of America’s largest retailers. Focusing on big and bulky products, Temco prides itself on elevating the final-mile delivery experience for its customers.

Industry

Transportation and warehousing

Company size

11 - 50 Employees

Headquarters location

Pomona, CA, US

Year founded

1968

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