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Afternoon Data Analyst R Programming Jobs in La Mirada, 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 ...

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 ...

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 ...

The Predictive Data Analyst will use statistical programming languages and tools for data manipulation, analysis, and visualization, including end-to-end predictive modeling from exploratory analysis ...

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 _ Supply Chain

Los Angeles, CA ยท On-site

$81K - $141K/yr

... Engineering is preferred Experience / Background Minimum 1 year Work experience with degree; or ... R or Python, SQL) Prior experience/education in life sciences or healthcare preferred The base pay ...

... Engineering is preferred Experience / Background Minimum 1 year Work experience with degree; or ... R or Python, SQL) Prior experience/education in life sciences or healthcare preferred The base pay ...

Bachelor's degree in a sciences or engineering discipline or similar field or an equivalent combination of education plus work experience. 1+ years of experience in data analysis, preferably in a ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See La Mirada, CA salary details

$34.3K

$83.4K

$137.3K

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 La Mirada, CA is $83,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in La Mirada, CA?

For Afternoon Data Analyst R Programming jobs in La Mirada, CA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in La Mirada, CA look for?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in La Mirada, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,401 per year, or $40.1 per hour.

Data Analyst

IT CURA Inc.

Pasadena, CA โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Company Description
Client is one of the largest independent banks headquartered in California serving consumers and businesses throughout the U.S. and Greater China. Client has over 130 locations worldwide including California, Texas, New York, Georgia, Massachusetts, Nevada, Washington, and Greater China.
Job Description
  • Extract and review monthly datasets for accuracy, validity and data integrity. Maintenance of report templates and production of performance reports.
  • Generate ad-hoc reports and assist in detailed analysis for areas of focus in the performance of business units.
  • Build and enhance processes to iteratively improve the quality and efficiency of department deliverables
  • Conduct data analysis, data integration, and data management
  • Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting
  • Plan and conduct small, short-term projects involving department subject matter experts and IT Department that focuses on improving processes and availability of data.

Qualifications
  • Advanced User of Microsoft Excel
  • Fluent in SQL, data manipulation, and trend analysis in an OLAP environment
  • Ability to solve problems thoroughly, quickly and creatively with an eye for detail
  • Hands-on experience in all aspects of data management activities involving large data sets(e.g., data gathering and profiling, data analysis, test data creation, data validation, and issue resolution)
  • Ability and knowledge to effectively explain technical concepts to non-technical associates, data users, managers, and other stakeholders
  • Minimum 2 years of experience in a data management and analytics role. Experience in Finance or Accounting in the banking industry preferred.
  • Bachelor's Degree in finance, accounting, engineering, math or computer-science related program

Additional Information
All your information will be kept confidential according to EEO guidelines.