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Afternoon Data Analyst R Programming Jobs in Lake Elsinore, CA

Responsibilities : โ€ข Prep and Process data through GATC platform based on customer or internal ... in programming in scripting (Python or similar) and interpreted languages (R, etc). โ€ข ...

DATA SCIENTIST II

Norco, CA ยท On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics ... Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics ...

Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data ... Having strong programming experience in both Python and R is preferred * Experience in Amazon Web ...

Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data ... Having strong programming experience in both Python and R is preferred * Experience in Amazon Web ...

Logistics Risk Analyst

Santa Ana, CA ยท On-site

$112.04/hr

Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or a related field. * Bachelor's degree in a technical field such as Computer Science, Computer Engineering, or a related ...

New

Data Governance- Manager

Irvine, CA ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Lake Elsinore, CA salary details

$33K

$80.3K

$132.1K

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

As of Sep 3, 2026, the average yearly pay for afternoon data analyst r programming in Lake Elsinore, CA is $80,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 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 Lake Elsinore, CA?

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

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

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Lake Elsinore, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,297 per year, or $38.6 per hour.

Operations Junior Data & Staffing Analyst

KAHANA & FELD LLP

Irvine, CA โ€ข On-site

Full-time

Posted 25 days ago


Job description

Description:

The Operations Junior Data & Staffing Analyst supports the firm’s leadership, practice groups, and administrative departments by collecting, organizing, and analyzing data across multiple systems to drive strategic and operational initiatives.  This position works closely with Practice Group Management, Legal and People Operations, Finance, and Practice Group leadership to support workload management, utilization tracking, staffing coordination, and operational efficiency across the firm’s practice groups.


This is a fast-paced, collaborative role that requires exceptional organizational skills and attention to detail, and the ability to liaise effectively between attorneys, firm leadership, and administrative departments. The Operations Junior Data & Staffing Analyst ensures that each group is well supported, aligned with firm priorities, and equipped to deliver outstanding client service. 


Duties and Responsibilities

Data Analysis & Reporting

  • Pull, organize, and analyze data from the firm’s finances, timekeeping, and billing systems to identify trends, support decision-making, and improve operational performance.
  • Run regular weekly, monthly, and ad hoc reports to support business goals across operations, client service, and client relations.
  • Provide firm leadership with insights and visual analyses derived from structured and unstructured data sources.

Data Management & Quality

  • Maintain and improve data hygiene across multiple databases, ensuring consistency, accuracy, and completeness.
  • Perform data cleanup and maintenance projects to enhance reporting reliability and system efficiency.
  • Gather, validate, and integrate data from multiple systems and locations into consolidated reports and dashboards.

System Integration & Automation

  • Build and manage SharePoint lists with advanced functionality, connecting data from multiple systems for leadership access and workflow automation.
  • Develop forms that automatically funnel data into spreadsheets or dashboards for real-time tracking and executive review.
  • Use APIs, PowerShell scripts, and automation tools to connect systems, push and pull data, and streamline processes.
  • Assist in the transition and quality assurance of data between the firm’s management systems and new software platforms.

Business Intelligence & Visualization

  • Design, maintain, and enhance dashboards and visual reports in Power BI to monitor KPIs and business trends.
  • Translate complex data into clear, actionable insights for non-technical audiences.
  • Support firm initiatives in financial analysis, client relationship management, and business development through data-driven insights.

Operational Management

  • Compile, analyze, and maintain operational and staffing reports, including utilization, capacity, productivity, and matter assignment data.
  • Utilize Power Automate, Microsoft Lists, Microsoft Excel, and SharePoint skills to create automated processes and workflows for staffing, teams, and headcount ratios.
  • Monitor and analyze timekeeper workloads and assist in identifying staffing gaps, capacity concerns, and workflow trends to ensure a balanced workload while meeting client needs promptly and make recommendations to Practice Group leadership.
  • Coordinate with Legal and People Operations, Finance, Recruiting, and the Practice Group Leaders regarding attorney assignments and staffing needs.
  • Prepare recurring and ad hoc reports related to attorney productivity, billable hours, staffing allocation, and operational metrics.
  • Work with practice group leaders and firm leadership to understand business goals, plan for future needs, and allocate resources effectively. This includes tracking partner-associate ratios and providing staffing forecasts.
  • Set up and manage efficient workflows, task tracking, calendars, and systems for organizing legal information.
  • Serve as a key contact between partners, lawyers, and the firm’s support departments (billing, people ops, IT, marketing, etc.) to assist the practice group in achieving its objectives.
  • Identify and participate in development and implementation of improvements to processes and workflows, leveraging the firm’s technology resources and proven methods.

Qualifications

  • Bachelor’s degree in Business Administration, Computer/Data Science, Data Mining and Analytics, Engineering, Statistics, Economics, or a related field.
  • 1+ years of experience in computer/data science, legal operations, staffing coordination, finance, or professional services operations.
  • Prior experience in a law firm or professional services setting is preferred.
  • Experience and working knowledge of SQL is required. 
  • Advanced Excel (including pivot tables, formulas, macros, and data modeling).
  • Advanced SharePoint functionality, including list setup, permissions, or automation.
  • Power BI for dashboard creation and data visualization.
  • Experience with APIs and data integration across systems.
  • Experience with Python for data applications.
  • PowerShell scripting for workflow automation and data transfer.
  • Excellent organizational, analytical, and communication skills with the ability to explain complex data concepts to diverse stakeholders.
  • Strong attention to detail, data accuracy, and system integrity.

This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.


Equal Opportunity Employer

Kahana Feld provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


Job Type

Full-Time, Non-Exempt


Supervisory Responsibilities

None


Work Location

Hybrid


Work Schedule

8:30am - 5:30pm Monday-Friday. Occasional weekends and holidays


Hourly Rate

$35.00 - $40.00


Physical Requirements

Primarily sedentary work. Exerting up to 40 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials. Work can be performed with or without accommodations.


Travel

5 – 10% domestic travel by ground and or air, dependent on firm needs 

Requirements: