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Afternoon Data Analyst R Programming Jobs in Santa Clara, CA

Quest Global

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies ...

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Cisco

Data Analyst

San Jose, CA · On-site

$134K - $176K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field. * 6+ years of experience in a data analytics, business intelligence, or similar analytical ...

Rappel

Decarbonization Data Analyst

Fremont, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Rappel

Decarbonization Data Analyst

Hayward, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Cisco

Data Analyst

San Jose, CA

$134K - $176K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field. * 6+ years of experience in a data analytics, business intelligence, or similar analytical ...

Rappel

Decarbonization Data Analyst

San Mateo, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Rappel

Decarbonization Data Analyst

Santa Clara, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Rappel

Decarbonization Data Analyst

Sunnyvale, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Rappel

Decarbonization Data Analyst

San Jose, CA · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

Programmers.io

Data Analyst

Santa Clara, CA · On-site

1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4.    Candidate should be able to assist ...

3M HEALTHCARE

Senior Game Data Analyst

San Mateo, CA · On-site

$124.90 - $187.30/hr

Communicate insights clearly across design, product, publishing, research, engineering, data ... Experience with Python, R, or statistical tooling for experimentation, causal inference, metric ...

Western Digital

Principal Data Analyst

San Jose, CA · On-site

We combine deep engineering expertise with global-scale manufacturing to deliver the storage ... Join us and let's shape the future of data. Western Digital is seeking a highly analytical ...

Aquent

Data Analyst (212647)

Santa Clara, CA · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 ... engineering. * Define, track, and report on key performance indicators (KPIs) related to fleet ...

Western Digital

Principal Data Analyst

San Jose, CA · On-site

We combine deep engineering expertise with global-scale manufacturing to deliver the storage ... Join us and let's shape the future of data. Western Digital is seeking a highly analytical ...

Aquent

Data Analyst (212647)

Hayward, CA · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 ... engineering. * Define, track, and report on key performance indicators (KPIs) related to fleet ...

Aquent

Data Analyst (212647)

San Mateo, CA · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 ... engineering. * Define, track, and report on key performance indicators (KPIs) related to fleet ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Santa Clara, CA

Afternoon Data Analyst R Programming information

See Santa Clara, CA salary details

$39.9K

$97.1K

$159.7K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Santa Clara, CA is $97,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $113,900.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 most commonly searched types of Data Analyst R Programming jobs in Santa Clara, CA?

The most popular types of Data Analyst R Programming jobs in Santa Clara, CA are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Santa Clara, CA?

For Afternoon Data Analyst R Programming jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Santa Clara, CA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Santa Clara, CA with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,056 per year, or $46.7 per hour.

Data Analyst/Engineer

Quest Global

Sunnyvale, CA • On-site

$105K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

244th of 453 rated engineering

Job description

Job Requirements
POSITION: Data Analyst/Engineer
Who We Are:
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you.
The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:
What You Will Do:
  • Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
  • Build processes that support data transformation, workload management, data structures, dependency and metadata
  • Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle.
  • Explore datasets to identify trends, patterns, and insights.
  • Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions. ‍
  • Build data pipelines that clean, transform, and aggregate data from disparate sources
  • Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
  • Streamline data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
  • SQL proficient (Snowflake), Tableau, Able to do prompt engineering
  • DL (data lakes), ingest the data and transform
  • be able to deal with large volumes of data
  • ML classification, anomalies, annotation, prediction

What You Will Bring:
  • Create and improve data visualization tools like Tableau & ThoughtSpot
  • Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers
  • Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
  • Experience and understanding of machine learning tools like datarobot
  • Project Management experience
  • to provide support to a wide variety of business teams
  • Good Interpersonal, relationship building, communication and presentation skills

Pay Range: $105,000 - $110,000 per year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Sunnyvale, CA.
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.
  • Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs.

Travel Requirements: Due to the nature of the work, no travel is required.
Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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