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Afternoon Data Analyst R Programming Jobs in El Monte, CA

Sr. Portfolio Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

Collaborate with engineering and data governance to establish reliable product tapes for joint ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... You'll partner with engineering, production, and finance to understand what's working, what isn't ...

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Stochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines ...

Sr. Portfolio Data Analyst

Los Angeles, CA · Remote

$88K - $111K/yr

Collaborate with engineering and data governance to establish reliable product tapes for joint ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Design and build new Power BI dashboards end-to-end from data engineering and modelling through to ... Data Analytics * Provide monthly innovation tracking updates across markets as input to global ...

Design and build new Power BI dashboards end-to-end - from data engineering and modelling through ... Data Analytics * Provide monthly innovation tracking updates across markets as input to global ...

We are looking for a Data Analyst / CDP Developer to join a great organization in Southern California. This Long-term Contract position focuses on transforming customer data into reliable insights ...

Design and build new Power BI dashboards end-to-end from data engineering and modelling through to ... Data Analytics * Provide monthly innovation tracking updates across markets as input to global ...

Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ... Work with engineering and product to implement, quality assurance, and monitor our logging and ...

Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ... Work with engineering and product to implement, quality assurance, and monitor our logging and ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Engineered to survive the harshest radiation environments and to fully capitalize on today's and ... F.R. § 120.15 or otherwise eligible for a federally issued export control license. Equal ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Engineered to survive the harshest radiation environments and to fully capitalize on today's and ... F.R. § 120.15 or otherwise eligible for a federally issued export control license. Equal ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Engineered to survive the harshest radiation environments and to fully capitalize on today's and ... F.R. § 120.15 or otherwise eligible for a federally issued export control license. Equal ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See El Monte, CA salary details

$34.1K

$83K

$136.6K

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 El Monte, CA is $82,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $97,400.00 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 El Monte, CA look for?

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

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

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

Systems Data Analyst

Login Consulting Services Inc.

Pasadena, CA • Hybrid

Full-time, Contractor

Posted 8 days ago


Job description

An independent governmental entity that administers and manages the retirement fund for the County of Los Angeles and outside districts is seeking a Systems Programmer Analyst for a 6+ month contract role. This is a hybrid position requiring onsite attendance 2-3 days per week in Pasadena, CA.
Responsibilities
* Serve as a Systems Programmer Analyst responsible for analyzing business and system needs, documenting requirements, and translating them into clear functional and technical specifications.
* Perform systems analysis across applications, databases, batch jobs, interfaces, reports, and operational processes to support enhancements, troubleshooting, conversions, and production support.
* Develop, execute, validate, and optimize complex SQL queries and scripts to research data issues, support analysis, confirm expected results, and validate business rules or system changes.
* Analyze data structures, database relationships, source-to-target mappings, and application logic to support reporting, integrations, batch processing, and modernization efforts.
* Create and maintain requirements documents, functional specifications, process flows, data mappings, test scenarios, validation results, and implementation support materials.
* Collaborate with business users, developers, database administrators, quality assurance staff, architects, and project teams to clarify requirements, evaluate options, and support delivery of system changes.
* Support development and testing activities by reviewing logic, validating program output, creating test data, documenting defects, and assisting with optional programming or scripting tasks when needed.
* Assist with production support, implementation planning, post-deployment validation, and clear communication of findings, risks, and recommended remediation steps.
Requirements
* A Bachelor's Degree from an accredited college in Computer Science, Information Systems, Business Information Systems, or a closely related field, -AND- at least three (3) years of progressively responsible, full-time, paid experience in a centralized Information Technology organization performing systems analysis, requirements documentation, application support, data analysis, SQL development, application development, or related technical analysis work.
* Strong systems analyst experience is required, including requirements gathering, functional and process analysis, technical documentation, stakeholder coordination, testing support, and implementation support.
* Advanced SQL proficiency is required, including writing, modifying, debugging, optimizing, executing, and validating SQL queries and scripts for data analysis, reconciliation, troubleshooting, reporting, and system validation.
* Experience analyzing relational databases, data models, source-to-target mappings, stored procedures, data quality issues, and application or batch processing logic is required.
* Experience supporting application development, enhancement, conversion, or modernization initiatives is required, including the ability to work with developers and technical teams to clarify logic, validate outputs, and support design decisions.
* Programming experience is preferred but not required; desirable experience may include Java, Spring, scripting, batch processing, report development, stored procedures, mainframe, or legacy technologies.
* Experience designing automated parity/comparison gates instead of manual report-by-report checks, and supporting a legacy-to-modern parallel-run/cut-over cycle is preferred.
* Strong analytical, troubleshooting, problem-solving, communication, facilitation, documentation, and attention-to-detail skills are required.