ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Riverside, CA

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... This role sits within the Service organization and works closely with field operations, engineering ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Required : • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Required : • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • ...

True Mission HR

Data Analyst (part-time)

Orange, CA

$35 - $38/hr

Identify program trends and outcomes through data analysis using OQ Analyst, data manipulation tools, statistical methods, and programming techniques. * Proactively engage with program staff to ...

Lennar

Sr Data Analyst

Irvine, CA · On-site

$92K - $116K/yr

Minimum 5-8 years of experience in data analysis, analytics engineer, or a related role. * Confident with learning new tools, technologies, and methodologies. * Experience with a data transformation ...

Canopy A&D

ERP Data Analyst

Ontario, CA · On-site

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an ... Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ...

Canopy A&D

ERP Data Analyst

Ontario, CA

$150K - $175K/yr

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an ... Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ...

Canopy A&D

ERP Data Analyst

Ontario, CA

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an ... Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ...

next page

Showing results 1-20

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Riverside, CA

Afternoon Data Analyst R Programming information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Riverside, CA? For Afternoon Data Analyst R Programming jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Riverside, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Riverside, CA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Field Data Analyst

FieldAI

Irvine, CA

$75K - $115K/yr

Full-time

Posted 15 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.
apply for this job

Apply