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Process Improvement Data Analyst Jobs in Riverside, CA

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Process Improvement * * Improve internal data validation workflows. * Support development of ... Strong analytical skills with ability to work with messy operational datasets * Proficiency in ...

FieldAI

Field Data Analyst

Irvine, CA

Process Improvement * * Improve internal data validation workflows. * Support development of ... Strong analytical skills with ability to work with messy operational datasets * Proficiency in ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

Strategic Employment

Data Analyst

Irvine, CA · Hybrid

We are working with a growing technology company that is looking to add a Data Analyst to their ... processing tasks • Interest or exposure to AI/LLM tools, prompt workflows, or automation ...

Strategic Employment

Data Analyst

Irvine, CA · Hybrid

We are working with a growing technology company that is looking to add a Data Analyst to their ... processing tasks • Interest or exposure to AI/LLM tools, prompt workflows, or automation ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation * Prior experience in workflow analysis and systems improvement to enhance stability and ...

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Process Improvement Data Analyst information

See Riverside, CA salary details

$50.6K

$84K

$104.8K

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

As of Jun 29, 2026, the average yearly pay for process improvement data analyst in Riverside, CA is $84,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $92,800.00 per year, depending on experience, location, and employer.

How does a Process Improvement Data Analyst typically collaborate with cross-functional teams to drive efficiency?

A Process Improvement Data Analyst works closely with stakeholders from various departments, such as operations, IT, and management, to identify inefficiencies and recommend data-driven solutions. Collaboration often involves facilitating workshops, leading discussions to map current processes, and sharing analytical findings to ensure everyone understands the root causes of bottlenecks. Regular meetings and clear communication are essential, as analysts must balance technical insights with practical suggestions that teams can implement. This collaborative approach not only helps in building consensus but also ensures that solutions are tailored to each team's unique workflows.

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

To thrive as a Process Improvement Data Analyst, you need strong analytical skills, a solid understanding of process mapping, and proficiency in statistics, usually supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and process improvement methodologies such as Lean Six Sigma certification is highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you present findings and drive change across teams. These skills ensure you can identify inefficiencies, support data-driven decisions, and effectively implement improvements that add value to the organization.

What is the highest paying data analyst job?

Senior or specialized data analyst roles, such as Data Science Manager or Business Intelligence Director, tend to have the highest salaries in the field. These positions often require advanced skills in programming, machine learning, and data visualization tools, and may include leadership responsibilities that command higher compensation.

Do OPS analysts need a degree?

Process Improvement Data Analysts typically benefit from a bachelor's degree in fields such as data analysis, business, or related areas. Relevant skills include proficiency in data tools like Excel, SQL, or Tableau, but some roles may accept equivalent experience or certifications. Educational requirements can vary depending on the employer and specific job responsibilities.

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

AspectProcess Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; certifications like Six Sigma or LeanBachelor's in Business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, process improvement projects, operational settingsProject teams, stakeholder meetings, business process analysis
Employer & Industry UsageManufacturing, healthcare, finance, logisticsIT, finance, consulting, corporate sectors

The Process Improvement Data Analyst focuses on analyzing data to optimize processes and increase efficiency, often working closely with operational teams. In contrast, a Business Analyst evaluates business needs, documents requirements, and facilitates solutions across various departments. While both roles require analytical skills and some overlapping certifications, their primary focus and daily tasks differ significantly.

What does a process improvement analyst do?

A process improvement analyst evaluates and analyzes business processes to identify inefficiencies and develop solutions that enhance productivity and quality. They use data analysis tools and methodologies such as Six Sigma or Lean to implement process changes and monitor their effectiveness, often collaborating with cross-functional teams. Strong analytical skills and knowledge of process mapping are essential for this role.

What does a Process Improvement Data Analyst do?

A Process Improvement Data Analyst is responsible for analyzing business processes, identifying areas for improvement, and using data-driven methods to recommend solutions. They collect and examine data related to workflows, efficiency, and productivity, then use statistical tools to identify bottlenecks or inefficiencies. By collaborating with different teams, they help implement changes that streamline operations, reduce costs, and improve overall performance. Their work often supports continuous improvement initiatives within an organization.

Is AI replacing data analysts?

AI is transforming the role of process improvement data analysts by automating routine data collection and analysis tasks, allowing analysts to focus on strategic insights and process optimization. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, making decisions, and implementing improvements. Data analysts with skills in data visualization, statistical analysis, and AI tools are increasingly valuable in this evolving environment.
What job categories do people searching Process Improvement Data Analyst jobs in Riverside, CA look for? The top searched job categories for Process Improvement Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Process Improvement Data Analyst jobs? Cities near Riverside, CA with the most Process Improvement Data Analyst job openings:
Process Improvement Data Analyst jobs near you

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75K - $115K/yr

Full-time

Posted 6 days ago

Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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