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Afternoon Data Analyst R Programming Jobs in Burbank, CA

Pinterest

Sr. Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

... Engineering, Strategy, Product Analytics, and global teams to frame business questions, define ... Advance SQL skills required, experience with Python, R, or similar scripting languages for data ...

Fitt Talent Partners

Data Analyst

Los Angeles, CA · On-site

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident ... Strong SQL skills: you can independently query, validate, and explore data without engineer support.

Pinterest

Sr. Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

... Engineering, Strategy, Product Analytics, and global teams to frame business questions, define ... Advance SQL skills required, experience with Python, R, or similar scripting languages for data ...

Ampcus Inc

Data Analyst.

Culver City, CA · On-site

They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide ... in statistics, programming, and marketing • Bachelor's degree required • Excellent ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

IT CURA Inc.

Data Analyst

Pasadena, CA

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

Fabletics

Data Analyst II

El Segundo, CA · On-site

Fabletics is looking for a Data Analyst II. How do you fit in? We are looking for someone who is ... Partner with data engineering teams to suggest improvements for our data architecture * Innovate to ...

JF Retail Services

Data Analyst II

El Segundo, CA

Fabletics is looking for a Data Analyst II. How do you fit in? We are looking for someone who is ... Partner with data engineering teams to suggest improvements for our data architecture * Innovate to ...

Fabletics

Data Analyst II

El Segundo, CA · On-site

Fabletics is looking for a Data Analyst II. How do you fit in? We are looking for someone who is ... Partner with data engineering teams to suggest improvements for our data architecture * Innovate to ...

UCLA Health

Data Analyst

Los Angeles, CA · On-site

$9.0K - $20K/mo

This position supports a variety of clinical research workflows with a focus on data engineering, analytics, and business intelligence, transforming complex data into meaningful insights that support ...

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

Afternoon Data Analyst R Programming information

See Burbank, CA salary details

$36.4K

$88.4K

$145.5K

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

As of Aug 12, 2026, the average yearly pay for afternoon data analyst r programming in Burbank, CA is $88,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 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 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Burbank, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Burbank, CA are:
What cities near Burbank, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Burbank, 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 Burbank, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $88,402 per year, or $42.5 per hour.

Sr. Data Analyst

Pinterest

Los Angeles, CA • On-site

$92K - $116K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest's mission is to bring everyone the inspiration to create a life they love. Content is central to that experience, and the Global Content Organization helps ensure Pinterest has the right content ecosystem to inspire users around the world.

As a Senior Business Analyst on the Integrated Content Solutions team, you will help shape how Pinterest understands content performance, content producers, and emerging trends across the platform. You will combine quantitative analysis, data mining, business storytelling, and scalable data product development to turn complex data into actionable insights for the Content team and cross-functional partners.

This is a high-ownership role for someone who enjoys bringing structure to ambiguity, working with large-scale data, and building tools that help teams make better decisions. Your work will influence content strategy, operational rigor, and opportunities for creators across the Pinterest ecosystem.

What you'll do:
  • Synthesize large amounts of data from disparate sources and communicate insights clearly to technical and non-technical audiences, helping partners understand performance, trends, and opportunities across the content ecosystem.
  • Monitor key operating metrics and provide timely insights on trends influencing content performance, content producer outcomes, and progress against team goals.
  • Leverage internal ETL/ELT tools to build and maintain foundational datasets that support accurate, consistent, and scalable analysis for the Content team.
  • Build scalable analytics products and tools - including dashboards, reporting workflows, alerts, and dynamic data applications - that make complex information more accessible, actionable, and useful for stakeholders.
  • Use AI and other emerging tools thoughtfully to accelerate analytics workflows, support data product development, and improve how stakeholders engage with data, while maintaining strong judgment, validation, and ownership of final outputs.
  • Partner closely with cross-functional teams across Content Partnerships, Editorial, Product, Engineering, Strategy, Product Analytics, and global teams to frame business questions, define success, incorporate feedback, and turn insights into practical tools and recommendations.
What we're looking for:
  • Minimum of 6 years of professional experience in business and data analytics in fast-paced data-driven environments such as tech, management consulting, and sales.
  • Advance SQL skills required, experience with Python, R, or similar scripting languages for data analysis, automation, or prototyping a plus.
  • Experience building foundational datasets, data models, or ETL/ELT workflows that support repeatable analysis, reporting, and decision-making.
  • Demonstrated ability to use AI or emerging tools to augment analytics workflows - such as accelerating analysis, generating or debugging code, summarizing findings, or supporting data product development - with a clear approach to validating accuracy, protecting sensitive data, and maintaining ownership of final deliverables.
  • Strong communication skills, with the ability to translate complex analysis into clear insights, narratives, and recommendations for both technical and non-technical partners.
  • Ability to partner effectively with cross-functional stakeholders, clarify ambiguous business questions, define success metrics, prioritize work based on impact, and incorporate feedback into high-quality deliverables.
  • Bachelor's degree in Data Science, Mathematics, Finance, Software Engineering, a related field or equivalent experience.
Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-JH4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$123,684—$254,644 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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