ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Whittier, CA

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

Coordinate with underwriting, marketing, risk, and engineering teams * Assist in translating ... Experience with R or Python * Experience with BI tools (Tableau, Looker, etc.) * Excellent ...

Mattel

Consumer Data Analyst

El Segundo, CA · On-site

... Programming / Tools * Proficient with relationaldatabases (e.g. MySQL, Redshift, BigQuery ... Ability to do the following with either Python or R: * Clean, explore, and transform data * Apply ...

Ra

Data Analyst

Los Angeles, CA

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

CHAOS Industries

People Data Analyst

El Segundo, CA · On-site

$150K - $200K/yr

Collaborate with HRIS and engineering teams to improve data architecture and accessibility ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

CHAOS Industries

People Data Analyst

El Segundo, CA

$150K - $200K/yr

Collaborate with HRIS and engineering teams to improve data architecture and accessibility ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Prosum

Data Analyst

Santa Monica, CA

Analyze data to determine requirements for a migration and updating of user data from one set of ... Work with engineers to analyze results of development efforts to determine if it meets requirements ...

Prosum

Data Analyst

Santa Monica, CA · On-site

Analyze data to determine requirements for a migration and updating of user data from one set of ... Work with engineers to analyze results of development efforts to determine if it meets requirements ...

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 ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

Partner with Sony Game Analytics, Gameplay, Engineering, and Design to support telemetry design ... Strong analytical and statistical skills, including experience with SQL, Python, R, MongoDB, or ...

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 ...

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 ...

Scale Inc

Data Analyst

Burbank, CA · Remote

You will not just analyze data; you will own the truth behind our Customer Retention and Lifecycle ... While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data ...

New

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

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 ...

previous pagenext page

Showing results 21-40

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

Afternoon Data Analyst R Programming information

See Whittier, CA salary details

$35.9K

$87.4K

$143.8K

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

As of Sep 2, 2026, the average yearly pay for afternoon data analyst r programming in Whittier, CA is $87,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Whittier, CA look for?

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

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

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

Afternoon Data Analyst R Programming jobs near you

Front-Facing Data Analyst

Plat.AI

Glendale, CA • On-site

Other

Re-posted 24 days ago

Job description

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.


Key Responsibilities:


🔹 Client & Stakeholder Engagement

  • Serve as the primary analytics point of contact for clients
  • Present performance reports, dashboards, and model insights
  • Translate complex statistical results into clear business recommendations
  • Participate in strategy calls


🔹 Data Analysis & Reporting

  • Analyze large datasets to identify trends, risks, and opportunities
  • Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
  • Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
  • Segment performance by channel, risk tier, geography, or campaign
  • Perform root cause analysis on performance shifts


🔹 Modeling & Optimization Support

  • Work alongside data scientists to interpret model outputs
  • Conduct A/B testing and performance experiments
  • Identify segments with low performance and recommend optimization strategies
  • Validate model deployment performance in production environments

🔹 Cross-Functional Collaboration

  • Coordinate with underwriting, marketing, risk, and engineering teams
  • Assist in translating business requirements into analytical frameworks
  • Support compliance and reporting needs where applicable


Required Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
  • field
  • 2–5+ years of experience in data analytics, preferably in fintech or lending
  • Strong proficiency in SQL
  • Experience with R or Python
  • Experience with BI tools (Tableau, Looker, etc.)
  • Excellent communication and presentation skills
  • Ability to explain technical concepts to non-technical audiences


Preferred Qualifications

  • Experience with underwriting analytics or credit risk modeling
  • Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
  • Knowledge of fraud detection metrics
  • Experience working in a client-facing or consulting environment


Core Competencies

  • Strong analytical thinking
  • Business acumen
  • Executive-level communication
  • Detail-oriented but able to see big picture
  • Proactive problem-solving mindset

Apply