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Afternoon Data Analyst R Programming Jobs in Los Angeles, CA

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.

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 ...

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.

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 ...

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 ...

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.

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

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 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 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 ...

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 ...

New

Reporting to the Data Engineering Manager, the Data Analyst is responsible for the following: Role Responsibilities: Regional Analytics Support * Serve as a responsive and reliable analytical partner ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23 ... Bachelor's degree in Information Technology, Engineering, or a related field. Equivalent experience ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

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

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Los Angeles, CA is $89,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,500.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Los Angeles, CA? The most popular types of Data Analyst R Programming jobs in Los Angeles, CA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Los Angeles, CA? For Afternoon Data Analyst R Programming jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Los Angeles, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Los Angeles, CA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Full-time

Re-posted 27 days ago


Job description

Fitt Talent Partners is a specialized recruitment firm working with top health and wellness companies.

We’re filling this role for a client, a leading consumer Health & Wellness Platform — that has existing partnerships with Eight Sleep, WHOOP, Momentous, Peloton, and other top brands.

Job Description

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident decisions — this role is the engine behind that capability. You sit at the intersection of data and decision-making, transforming raw inputs into the dashboards, models, and analyses that keep the business moving.

By driving KPI clarity and enabling self-serve analytics, you reduce friction across the organization and free teams to act on insight rather than hunt for it.

Responsibilities

  • Build and maintain dashboards that give leadership a real-time view of the business: revenue, merchant performance, transaction volume, and customer metrics.

  • Deliver ad hoc analyses for GTM and Operations teams, translating business questions into clear findings and recommendations.

  • Design and maintain datasets and models that empower business teams to self-serve.

  • Use AI tools to move faster, automate repetitive analysis, and focus time on the work that drives the most impact.

Qualifications

  • 3–5+ years of experience in an analytics-focused role.

  • Strong SQL skills: you can independently query, validate, and explore data without engineer support.

  • Strong proficiency with at least one BI tool — Omni, Looker, Metabase, Tableau, or similar — and a track record of building dashboards from scratch that teams use to drive decisions.

  • Familiarity with dbt and modern data stack concepts sufficient to collaborate with data and engineering teams.