ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Oakland, CA

1 point system

Data Analyst

Sunnyvale, CA · On-site

... engineering roadmaps. * Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). * Strong experience with Python or R for data analysis ...

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. * Adept at working with large datasets, utilizing statistical techniques to ...

QuinStreet

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Key liaison between business and technical teams in managing day to day data analytics. * Lead a ... Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc ...

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... Engineering, Statistics, Data or Information Sciences, or related field AND 2-3 year of related experience • 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx ...

Emendata

Data Analyst

San Francisco, CA · On-site

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Emendata

Data Analyst

San Francisco, CA

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Cloudflare

Data Analyst

San Francisco, CA

Democratize data & intelligence for humans and agents * Build a context layer and an AI systems ... Experience with statistical analysis programming languages (Python, R etc.) What Makes Cloudflare ...

New

Menlo Ventures

Data Analyst

Oakland, CA · On-site

$120 - $172/hr

Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems. * Understanding of fundamentals of relational databases and data modeling.

New

Support Revolution

Data Analyst

San Jose, CA · On-site

$90 - $110/hr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... Basic scripting -- Python or R for data manipulation or automation. * Windows environment fluency ...

New

SUPERMICRO COMPUTER INC

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... Basic scripting - Python or R for data manipulation or automation. * Windows environment fluency ...

Super Micro Computer

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... Basic scripting - Python or R for data manipulation or automation. * Windows environment fluency ...

Verdantas

Data Analyst I

San Ramon, CA · On-site

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

Infinitus

Data Analyst

San Francisco, CA · On-site

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt ... Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and ...

VIMO INC

Data Analyst

Mountain View, CA · On-site

$80 - $100/hr

Partner with engineering and platform teams to surface pipeline failures, schema changes, or ... Python or R for data wrangling and automation. * Experience with cloud data warehouses (Snowflake ...

VIMO INC.

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Partner with engineering and platform teams to surface pipeline failures, schema changes, or ... Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ...

VIMO INC.

Data Analyst

Mountain View, CA

Partner with engineering and platform teams to surface pipeline failures, schema changes, or ... Python or R for data wrangling and automation * Experience with cloud data warehouses (Snowflake ...

1 point system

Senior Data Analyst

Sunnyvale, CA · On-site

$40/hr

You will collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to ... Strong Python or R experience for data analysis, modeling, and automation. * Experience with data ...

next page

Showing results 1-20

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

Afternoon Data Analyst R Programming information

See Oakland, CA salary details

$39K

$94.9K

$156.2K

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

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Oakland, CA is $94,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $111,400.00 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 Oakland, CA?

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

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

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

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

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

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

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

Afternoon Data Analyst R Programming jobs near you

Data Analyst

1 point system

Sunnyvale, CA • On-site

Contractor

Re-posted 7 days ago

Job description

Qualifications
• Master’s degree in data science, Statistics, Computer Science, Economics, or a related field.
• 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics.
• Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
• Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
• Strong experience with Python or R for data analysis, modeling, and automation.
• Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
• Experience with A/B testing, experimentation frameworks, and causal inference techniques.
• Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
• Excellent communication skills with the ability to translate complex data into actionable insights.