1

Afternoon Data Analyst R Programming Jobs in Santa Clara, CA

NAND Q&R Engineer

Cupertino, CA · On-site

$150K - $277K/yr

... Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Data Analyst I

San Ramon, CA · On-site

$65 - $68/hr

Role Overview Verdantas, a leading environmental consulting firm, is seeking a Data Analyst I to ... Exposure to SQL, Python, R, or similar tools is a plus. * Clear communication of findings and ...

Data Analyst

Fremont, CA · On-site

$46.42/hr

Data Analytics / Technical Documentation Analyst Location: Fremont, CA Duration: 1-Year Contract ... Collaborate with subject-matter experts, engineers, business stakeholders, and cross-functional ...

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to ... engineering. * Define, track, and report on key performance indicators (KPIs) related to fleet ...

Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources. Data visualization tools: Mastery of ...

Senior Data Analyst

San Mateo, CA · On-site

$52.23 - $70.66/hr

Revvo Careers Senior Data Analyst Location: San Mateo, California | Employment Type: Full Time * ... Python, R, Git, GitHub, Pandas, Seaborn, Jupyter Notebooks, PostgreSQL, Unit testing * Proficiency ...

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 ...

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 ...

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 ...

Minimum of bachelor's Degree in Data Science, Applied Mathematics, Architecture or Engineering with an emphasis on quantitative methods * 3+ years in a past data analyst role (or similar) that ...

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 ...

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 ...

Showing results 21-40

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:

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.

NAND Q&R Engineer

Apple

Cupertino, CA • On-site

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could create at Apple. Here, groundbreaking ideas evolve rapidly into products, services, and experiences that transform industries. Bring your technical mastery, analytical mindset, and creative energy-there’s no limit to what you can accomplish. At Apple, you’ll collaborate with forward-thinking engineers who pair innovation with precision, combining deep coding expertise, advanced reliability data analysis, and cutting-edge technology to redefine what’s possible. Our shared mission: to deliver meaningful innovation and leave the world better than we found it!
Description
As an Apple NAND Q&R Engineer, you will shape the future of Apple’s mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You’ll integrate statistical insight with hardware quality and reliability data to optimize flash memory technologies and influence how Apple devices achieve industry-leading performance and reliability. Working across EPM, product engineering, test, and supplier teams, you’ll help translate complex data into actionable reliability improvements and next-generation product solutions.","responsibilities":"Drive vendor NAND die development to meet Apple’s standards for quality and reliability
Lead collaborative investigations of NAND device quality and reliability issues using data-driven root-cause analysis
Present trend analyses, risk assessments, and technical recommendations to cross-functional stakeholders and leadership
Apply statistical modeling and data visualization techniques to detect anomalies and guide issue resolution
Develop and implement automated scripts and tools (Python, SQL, or similar) to analyze NAND device quality and reliability data at scale
Preferred Qualifications
MS or PhD in a technical discipline with 3+ years of relevant industry experience
Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis
Proficiency in automating data analysis workflows and developing data pipelines for Q&R evaluation
Experience correlating NAND device parameters with product-level Q&R through coding and analytics tools
Familiarity with multiple lithography and process technologies from concept through qualification
Deep understanding of NAND system architecture for embedded or SSD designs and competitor benchmarking
Exceptional analytical judgment, technical communication, and problem-solving skills
Minimum Qualifications
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field
Experience in NAND quality and reliability, characterization, or product engineering
Experience with statistical data analysis and large dataset interpretation
Experience in NAND qual testing, failure analysis and/or debugging
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976