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Afternoon Data Analyst R Programming Jobs in Arvin, CA

Support engineering and project teams with data collection, validation, and analysis related to program delivery * Develop, maintain, and enhance dashboards and reports to track key performance ...

Support engineering and project teams with data collection, validation, and analysis related to program delivery * Develop, maintain, and enhance dashboards and reports to track key performance ...

Support engineering and project teams with data collection, validation, and analysis related to program delivery * Develop, maintain, and enhance dashboards and reports to track key performance ...

Sr. Maintenance Scheduler

Bakersfield, CA

$61K - $74K/yr

Analyze maintenance and production data to anticipate potential risks and proactively adjust ... Manages R&M schedule e-mail box correspondence. Direct all correspondence to the appropriate ...

Sr. Maintenance Scheduler

Bakersfield, CA ยท On-site

$61K - $74K/yr

Analyze maintenance and production data to anticipate potential risks and proactively adjust ... Manages R&M schedule e-mail box correspondence. Direct all correspondence to the appropriate ...

Sr. Maintenance Scheduler

Bakersfield, CA ยท On-site

$61K - $74K/yr

Analyze maintenance and production data to anticipate potential risks and proactively adjust ... Manages R&M schedule e-mail box correspondence. Direct all correspondence to the appropriate ...

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Showing results 1-20

Afternoon Data Analyst R Programming information

See Arvin, CA salary details

$33.1K

$80.4K

$132.3K

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

As of Aug 24, 2026, the average yearly pay for afternoon data analyst r programming in Arvin, CA is $80,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 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 cities near Arvin, CA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Arvin, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $80,392 per year, or $38.6 per hour.

Education Data Scientist

Kern Community College District

Bakersfield, CA โ€ข On-site

$7.6K - $10K/mo

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Salary: $7,635.85 - $10,789.27 Monthly
Location : District Office, CA
Job Type: Classified
Job Number: FY26-2700030
College: District Office
Department: Institutional Research
Opening Date: 08/11/2026
Closing Date: Continuous
Assured Consideration Date: 08/25/2026
Internal Posting Information: None
Below is our job description for this position. Please also review the Important Instructions & Additional Information section below, which contains valuable information about our application process.
Basic Function
Reporting to the Dean of Institutional Effectiveness, the Education Data Scientist uses their experience in institutional research and higher education in combination with their data scientist skillset to support the institutional research in developing insights and tools that increase student success.
DISTINGUISHING CHARACTERISTICS:
The Education Data Scientist analyzes large amounts of raw information to find patterns that will help improve operations and student success. Responsibilities include analysis of current and historical data on students, staff, departmental workload, enrollment, retention, and graduation. The Education Data Scientist executes strategic, innovative data driven analyses that provide valuable insight, working closely with other members of the Office of Institutional Effectiveness in gathering, analyzing, and reporting data. The EDS supports the development of dashboards, data visualizations, and automated reports and consults regularly with campus stakeholders, building productive professional relationships to understand their current processes and needs and to proactively identify opportunities for collaboration, automation, advanced analytics, and project development.
Representative Duties
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Use machine learning and other approaches to analyze and categorize student engagement and learning
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to operational challenges including ways to maximize student success
Collaborate with institutional research, planning, and development teams
Perform related duties as assigned.
Minimum Qualifications
Any combination equivalent to: Bachelor's degree in Information Systems, Computer Science or related field and 2 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
An Associate's degree in Computer Science and 4 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
High school diploma, GED or equivalent certificate of competency and 5 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
PREFERRED QUALIFICATIONS:
Graduate degree in Data Science or another quantitative field.
Knowledge & Abilities
KNOWLEDGE OF:
Knowledge of data extraction, collection, and analysis tools (e.g., R, SQL, Python); familiarity with Canvas, Scala, Java or C++ is an asset
Knowledge of machine-learning research
ABILITY TO:
Ability to use business intelligence tools (e.g., Tableau), data warehouses, and data frameworks (e.g., AWS, Redshift, Hadoop)
Interact, participate and conduct presentations to individuals, college groups, committees, organizations and others as assigned.
Analytical mind and problem-solving aptitude
Prepare comprehensive statistical and narrative reports.
Establish and maintain cooperative working relationships
Maintain a positive working environment and work towards a common goal.
SALARY RANGE
$7,635.85 - $10,789.27 monthly
Maximum Entry Level Salary: $ 8,022.42 monthly
SPECIAL INSTRUCTIONS
First Review of Applications: Complete application packets will be accepted until the position is filled; but those received by August 25, 2026, are assured consideration. The College reserves the right to extend time limits or re-initiate the recruitment/selection process at any point.
Completed application packet must include:
  • Completed Online Application for Employment form
  • Current resume
  • Letter of interest (Cover Letter)
  • Copy of legible transcripts
  • List of five (5) professional references - Listed on application form

It is the applicant's responsibility to redact (or remove) any personal information from all documents prior to uploading. This includes Social Security Numbers, Date of Birth, and any photos of the applicant.
Foreign Degree: Applicants with foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your on-line application.
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. EEO Plan 2021-2024
Note: The District is strongly committed to achieving staff diversity and the principles of equal employment opportunity. The District encourages a diverse pool of applicants and does not discriminate on the basis of national origin, religion, age, gender, gender identity, gender expression, race or ethnicity, color, medical condition, genetic information, ancestry, sexual orientation, marital status, physical or mental disability, pregnancy, or because he/she is perceived to have one or more of the foregoing characteristics, or based on association with a person or group with one or more of these actual or perceived characteristics or any other characteristic protected by federal, state or local law, in any of its policies, procedures or practices. Discrimination Free Work Environment
The District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
Important Instructions & Additional Information
Complete applications received by the "assured consideration date" above are guaranteed to be reviewed by Human Resources. If you apply after this date, there is no guarantee that your application will be reviewed. However, we still recommend that you apply because recruitments remain open until filled. The District and/or College reserves the right to extend time limits and/or repost or restart recruitments at any point.
Completed applications must include the following.
  • Completed online application for employment
  • Current resume
  • Letter of interest (cover letter)
  • List of 5 (five) professional references (entered in online application)
  • Copy of legible transcripts (if required for the position)

It is your responsibility to redact or remove any personally identifiable information from all documents prior to uploading, including Social Security numbers, date of birth, photos, etc.
For all positions, sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds of community college students, shall be considered a core system competency and job requirement. ()
Equivalency for Minimum Qualifications
Applicants for faculty and educational administrator positions in California Community Colleges are required to meet certain minimum qualifications as provided by the California Community Colleges Chancellor's Office and detailed in the If you do not meet these minimum qualifications, you may still be eligible by completing the KernCCD Application for Equivalence process. Please see our for more information.
International or Foreign Degrees
Applicants with international or foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your online application.
Accommodations
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. (For more information, see our )
Discrimination Free Work Environment
Discrimination based on race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation of any person, military and veteran status, or the perception that a person has one or more of these characteristics is illegal and violates Kern Community College District policy.
The Kern CCD Equal Employment Opportunity Plan guides the development, implementation, and monitoring of the District's efforts to foster equal employment opportunities and workplace diversity.
See our for more information.
Work Authorization
Kern Community College District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
E-Verify
The Kern Community College District participates in the U.S. Department of Homeland Security's E-Verify program to verify the identity and employment eligibility of all newly hired employees. To learn more about E-Verify, please visit
Helpful Links
Full-time permanent employees (20+ hours per month) are eligible for health benefits:
  • Health
  • Dental
  • Vision
  • Life Insurance
  • Long-term Disability

In addition to the above benefits, the District also offers a robust voluntary benefits selection:
  • Flex 125
  • Additional products and services through American Fidelity
  • Supplemental Voluntary Life Insurance
  • Tax Shelter Annuities

The District participates in CalPERS Retirement System and Social Security benefits for Classified and Management employees. Employees covered under the California Public Employees Retirement System (CalPERS), are vested 100% after five years of full-time service credit.
The District participates in the State Teacher's Retirement System (STRS) for faculty. Employees covered under the State Teacher's Retirement System (STRS), are vested 100% after five years of full-time service credit.
All coverages begin on the first of the following month after the hire date.
The following classifications are eligible for the Affordable Care Act (ACA) health benefits at the employee expense offered through SISC:
  • Permanent Employees (19 hours or less)
  • Adjuncts
  • Temporary Hourly
  • Professional Experts

For additional information, please visit our

Kern Community College District logo

About Kern Community College District

Sourced by ZipRecruiter

Kern Community College District (KCCD) is a reputable organization in the educational sector based in Bakersfield, California, United States. Their industry consists of higher education services focused on providing quality and diverse learning experiences to meet the educational and workforce development needs. Dating back to its establishment in 1968, KCCD has grown substantially, managing three accredited colleges: Bakersfield College, Cerro Coso Community College, and Porterville College. The mission of KCCD is to provide outstanding educational programs and services that are responsive to the diverse needs of the students, communities, and economy.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Bakersfield, CA, US

Year founded

1961