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Afternoon Data Analyst R Programming Jobs in Oakland, CA

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Partner with product managers, engineers, and risk/compliance teams to support the design of new ...

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

The Role We're seeking our first data analytics hire to establish and own the data foundation for ... Data engineering skills or familiarity with data pipeline development * Experience at high-growth ...

The Rockridge Group

Data Analyst

Concord, CA · On-site

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Familiarity with database queries and programming languages (e.g., SQL) * Excellent written and ...

Harper

Data Analyst

San Francisco, CA

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... The role Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it ...

Harper

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... The role Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it ...

Sunrise Systems, Inc.

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

Bachelor s degree in Marketing, Business, Computer Science, Engineering, or related field, or equivalent experience. * 2+ years of relevant data analysis experience. * Strong analytical, problem ...

Stanford University

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

... analysis, design, development, conversion and implementation work. • Work as a project leader, as ... Preferred : • Other Coding experience such as Scala and R Programming is a plus. Company

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 ...

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 ...

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 ...

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... The role Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it ...

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 ...

Easy Recruiter

Data Analyst

Los Altos, CA · On-site

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 ...

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 ...

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 ...

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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 23, 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:

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

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

Afternoon Data Analyst R Programming jobs near you

Data Analyst

Numeric

Sunnyvale, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Analyst.
Location: Sunnyvale, CA.
Duration: Long Term Contract.
Direct Client: Req.
Responsibilities:
  • Query Execution: Proficiently run intricate queries across diverse data sources to extract necessary information.
  • Data Distillation: Transform complex data into concise, visually compelling slides and documents for clear communication and decision-making purposes.
  • Narrative Crafting: Develop comprehensive narratives that contextualize and explain distilled data, facilitating understanding for varied audiences.
  • Troubleshooting Expertise: Identify and resolve issues within Tableau or databases through meticulous troubleshooting methodologies.
  • Code Interpretation: Analyze Tableau and Python code to pinpoint bugs, flawed designs, or inefficiencies affecting data integrity or visualization outcomes.
  • Solution Proposition: Offer informed solutions and enhancements based on learned insights and nuances, aimed at addressing identified issues effectively.

Required Skills:
  • Self-starter: Demonstrated ability to initiate and drive tasks independently within a data-centric environment.
  • Data Querying Proficiency: Strong command in querying data within AWS, navigating complex joins across multiple databases to trace and troubleshoot issues at their source.
  • Code Interpretation: Capable of interpreting code to pinpoint discrepancies leading to inaccuracies in data.
  • Tableau Expertise: Technical proficiency in comprehending and analyzing Tableau reports, including understanding source data, calculations, and nuances within Tableau workbook structures.
  • Effective Collaboration and Communication: Skilled in collaborating and communicating effectively with diverse business and analytics teams at various seniority levels.
  • Troubleshooting Skills: Proficient in resolving Tableau access and data-related issues.
  • Storytelling through Keynote Slides: Ability to create compelling keynote slides that effectively convey a narrative through data visualization and storytelling.

Minimum Experience Requirements:
  • At least 1 year of hands-on experience in each of the following:
    • Querying in AWS data stores.
    • SQL proficiency.
    • Tableau expertise.
    • Data analysis techniques.
    • Visual storytelling through data.
    • Python programming for data analysis.

Apply