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Part Time Data Analyst R Programming Jobs in Los Angeles, CA

Chapman University

Data Analyst

Orange, CA · On-site

$72K - $75K/yr

... Full or Part Time full-time 40 hours weekly Fair Labor Standard Act Classification Exempt ... Demonstrated experience in Relational Data Modeling, SQL programming and relational database ...

Ootoro Sushi

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Marketing Analyst

Walnut, CA · On-site

$28 - $35/hr

... in data Analytics or a related field -- must have strong coursework in quantitative methods • 1+ years of relevant experience (internships considered) • Proficient in Excel; Python, R, or SQL a ...

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Ootoro Sushi

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Marketing Analyst

Walnut, CA · On-site

$28 - $35/hr

... in data Analytics or a related field -- must have strong coursework in quantitative methods • 1+ years of relevant experience (internships considered) • Proficient in Excel; Python, R, or SQL a ...

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All JobsPart Time Data Analyst R Programming JobsPart Time Data Analyst R Programming Jobs in Los Angeles, CA

Part Time Data Analyst R Programming information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

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

As of Jun 10, 2026, the average yearly pay for part time data analyst r programming in Los Angeles, CA is $89,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

What are the most commonly searched types of Data Analyst R Programming jobs in Los Angeles, CA? The most popular types of Data Analyst R Programming jobs in Los Angeles, CA are:
What are popular job titles related to Part Time Data Analyst R Programming jobs in Los Angeles, CA? For Part Time Data Analyst R Programming jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst R Programming jobs in Los Angeles, CA look for? The top searched job categories for Part Time Data Analyst R Programming jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Part Time Data Analyst R Programming jobs? Cities near Los Angeles, CA with the most Part Time Data Analyst R Programming job openings:
Part Time Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Chapman University

Orange, CA • On-site

$72K - $75K/yr

Full-time, Part-time

Posted 16 days ago

Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

284th of 535 rated colleges and universities

Job description

Posting Details
Position Information
Position Title
Data Analyst
Position Type
Regular
Job Number
SA77024
Full or Part Time
full-time 40 hours weekly
Fair Labor Standard Act Classification
Exempt
Anticipated Pay Range
$72,000 - $75,000
Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
Reporting to the Office Manager, the Data Analyst supports all critical functions of the Facilities Management work order control system within CMMS (WebTMA7), including system configuration, module optimization, database maintenance, and management of asset, inventory, and space data for Chapman University. This role will track capital projects and maintenance costs, establish best practices to ensure data accuracy and efficient work order lifecycles, and produce reports to support data-driven decision-making for department leadership. The Data Analyst collaborates across departments with internal and external stakeholders on system upgrades, maintenance, and troubleshooting, while also developing procedures, documenting workflows, and delivering comprehensive training programs for all users at all levels. Additionally, the position provides departmental technical support, assists with administrative operations, and supports special projects as needed.
Responsibilities
CMMS (WebTMA7) Oversight & Administration
  • Serve as primary point of contact for all CMMS- related issues including troubleshooting and coordinating with IS&T, Facilities Management, Campus Planning & Design, and other departments and vendors as needed.
  • Monitor system usage and implement improvements to enhance operational efficiency.
  • Configure and input new user access, asset records, preventative maintenance schedules, reporting tools and workflows to best assist the Facilities Management Team.
  • Perform research, analysis and manage administrative efforts related to the evaluation of WedTMA7 work control and materials management operations.
  • Prepare WebTMA7 open and close processes in tandem with the fiscal year and in partnership with the Facilities Management Business Department.
  • Ensure data accuracy and management for all asset records, projects, and inventories. Provide recommendations on additional functionalities WebTMA7 can assist with to further refine operational needs.
  • Supports implementation of CMMS changes, module optimizations, and updates to ensure the system is well maintained to users in the creation of data manuscripts, and statistical reports synthesizing results of analyses performed, including recommendations for policy changes, innovative strategies, and data driven decision-making.
  • Ensure that administrative processes are documented in meticulous records for operational continuity
  • Oversee the creation of preventative maintenance work orders for the entirety of the real estate portfolio including on-campus buildings and assets as well as auxiliary locations and functions.

Reporting & Data Analytics
  • Develop and generate all reports and user dashboards to facilitate work timeliness and support data-driven decision-making.
  • Collect and interpret statistical data and reports by analyzing various information sources for relevance including KPIs, work order metrics and asset performance; create innovative methods for retrieving difficult-to-obtain data and translate data for non-technical audiences.
  • Collect and disseminate information for reports. Refine reporting to meet the needs of individual decision makers and translate date into actionable terms for technicians.
  • Analyze facilities and maintenance data to identify opportunities for improvements, trends & any inefficiencies to leadership. Provide recommendations based on findings to support budgeting and forecasting efforts with data insights.

Department Administrative Support
  • Work order pick-up, processing & scheduling during peak, high-volume periods and as additional support when needed.
  • Supervise Facilities Management student staff as requested.
  • Provide general departmental support related to processing work requests and work orders on an ongoing basis, as assigned.
  • Serves as department technical support for Facilities Management office equipment
  • Serve as administrative support back-up for the front desk, Administrative Operations Coordinator, and Office Manager as needed. This may require answering phones and general receptionist work.
  • Respond to inquiries and service requests in a professional and timely manner with a focus on customer service excellence with all interactions with Chapman students, staff, faculty, and the community at large.
  • Perform special projects, research and other duties as assigned.

Training & Technical Support
  • Conduct in-person, recorded, and virtual training sessions, including one-on-one coaching to ensure work order management program literacy and understanding.
  • Assist with creating training materials, user guides and standard operating procedures (SOPs) with a focus on continual improvement of these documents.
  • Install and optimize mobile CMMS app support for assigned devices.
  • Troubleshoot system issues and coordinate with IT for resolution when needed.

Other Related Duties as Assigned
Required Qualifications
  • Bachelor's degree or equivalent education or equivalent working experience related to Information Systems, Data Analytics/Data Science, Computer Science, Industrial Engineering, Construction Management, Business Administration, Facilities Management, or related field.
  • Demonstrated experience and knowledge of CMMS system, preferably WebTMA7.
  • Extensive knowledge of Microsoft Office Suite, Google tools, system integration programs (APIs, imports/exports between CMMS, ERP, GIS, HR systems,) basic scripting or automations (Python, Power Automate, etc) and data visualization tools (Power BI, Tableau) & SQL in a PC environment.
  • Proven experience in gathering and analyzing data, reasoning logically, drawing valid conclusions and making effective recommendations to management.
  • Demonstrated experience in report writing and other forms of written communication such as major reports, correspondence and evaluation designs and proposals.
  • At least two to three years of progressive experience and responsibilities providing administrative support in a professional office environment
  • Excellent communication skills, both oral and written, including the ability to communicate complex data insights to non-technical stakeholders.
  • Demonstrated ability to solve complex technical problems, using investigative research and analytical skills to develop and implement creative solutions.

Desired Qualifications
  • Demonstrated experience in Relational Data Modeling, SQL programming and relational database management systems such as Microsoft SQL Server.
  • Past staff/student staff/intern supervision
  • Working knowledge of Facilities Management principles and operations including maintenance (preventative and deferred,) asset tracking and space management.
  • Experience working with cross-functional teams, preferably in a higher education setting.

Special Instructions to Applicants
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis.
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
Minimum Number of References
2
Maximum Number of References
3

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