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Afternoon Data Analyst R Programming Jobs in Oakland, CA

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ...

ActiveHours

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

Recommend analytical tools to implement in partnership with developers and the Head of Growth ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

ActiveHours

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Recommend analytical tools to implement in partnership with developers and the Head of Growth ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

Atria Group LLC

Data Analyst

San Francisco, CA

Our company provides application analysis, design, development and programming, software ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

MIT RESOURCE

Data Analyst

San Francisco, CA

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties ... campaign developers to build and validate logic to meet business intent Assessing campaign ...

Doist

Data Analyst

San Francisco, CA · On-site

$135 - $180/hr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Landpoint

Remote Data Analyst

Fremont, CA · Remote

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 ...

Candid Health

Data Analyst

San Francisco, CA

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

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 ...

New

The Rockridge Group

Data Analyst

Concord, CA

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 ...

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

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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 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

Sr. Data Analyst

Thunkable

San Francisco, CA • Remote

$90K - $130K/yr

Full-time

Medical, PTO

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

Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you'll not only analyze data to generate insights but also help connect and organize data from multiple sources-such as product analytics, marketing platforms, payments, and user systems-into a more complete and reliable view. We're looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
Required Qualifications
 
- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
 
Preferred Qualifications
 
- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
$90,000 - $130,000 a year
Life at Thunkable
 
Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
 
Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
 
What You'll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
 
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.
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