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A R Analyst Jobs in Oxnard, CA (NOW HIRING)

Telesolv Consulting

Supply Technician

Port Hueneme, CA · On-site

$38.80/hr

Description TeleSolv, a mid-sized, high-performing company with more than 25 years of proven ... Maintain and update stock records and supply databases (e.g., R-Supply). * Generate and analyze ...

TeleSolv Consulting

Supply Technician

Port Hueneme, CA · On-site

$38.80/hr

Port Hueneme, CA Compensation: $38.80 / hour Description TeleSolv, a mid-sized, high-performing ... Maintain and update stock records and supply databases (e.g., R-Supply). * Generate and analyze ...

TeleSolv Consulting

Supply Technician

Port Hueneme, CA · On-site

$38.80/hr

TeleSolv, a mid-sized, high-performing company with more than 25 years of proven excellence across ... Maintain and update stock records and supply databases (e.g., R-Supply). * Generate and analyze ...

SaniSure LLC

Manufacturing Engineer

Camarillo, CA · On-site

$100K - $110K/yr

Plan and conduct validation runs and Gage R&R studies to ensure measurement system and process ... ensure a successful production ramp. * Evaluate and improve quality control processes; analyze ...

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All JobsA R Analyst JobsA R Analyst Jobs in Oxnard, CA

A R Analyst information

See Oxnard, CA salary details

$32.8K

$77.6K

$137.7K

How much do a r analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for a r analyst in Oxnard, CA is $77,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $92,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Accounts Receivable (A/R) Analyst, and why are they important?

To thrive as an Accounts Receivable Analyst, you need a solid grasp of accounting principles, data analysis, and financial reporting, typically supported by a degree in finance, accounting, or a related field. Familiarity with ERP systems (like SAP or Oracle), Microsoft Excel, and financial management software is commonly required. Strong attention to detail, problem-solving skills, and effective communication help A/R Analysts resolve discrepancies and collaborate with clients and internal teams. These abilities are vital to ensure accurate cash flow management, minimize bad debt, and support financial health within an organization.

What does an AR analyst do?

An AR analyst manages accounts receivable processes, including invoicing, tracking payments, and reconciling accounts to ensure timely collection of funds. They often use accounting software and require strong attention to detail and communication skills to resolve discrepancies and improve cash flow.

What jobs make $1,000,000 a year?

A R Analyst typically does not earn $1,000,000 annually; such high earnings are usually associated with top executives, successful entrepreneurs, hedge fund managers, or highly specialized professionals in finance, investment banking, or private equity. Achieving this level of income often requires extensive experience, advanced skills, and significant responsibility or ownership in a business.

What is an A R Analyst?

An A R Analyst, or Accounts Receivable Analyst, is a financial professional responsible for managing and analyzing a company's incoming payments and outstanding invoices. They ensure that clients pay their bills on time, monitor accounts for discrepancies, and may communicate with customers to resolve payment issues. Their role is crucial for maintaining healthy cash flow and accurate financial records within an organization.

What are some common challenges an Accounts Receivable (A/R) Analyst faces, and how can they address them?

A/R Analysts often encounter challenges such as delayed payments from clients, discrepancies in invoices, and managing large volumes of transactions. To address these issues, effective communication with clients and internal teams is essential, as is a strong attention to detail when reconciling accounts. Utilizing up-to-date accounting software and following up promptly on overdue accounts can also help improve cash flow and minimize errors. Collaborating closely with sales and customer service teams ensures that any disputes or misunderstandings are resolved efficiently, supporting overall financial health.

What is the difference between A R Analyst vs Accounts Payable Specialist?

AspectA R AnalystAccounts Payable Specialist
Primary RoleManages accounts receivable, processes customer payments, and ensures timely collectionHandles vendor invoices, processes payments, and manages outgoing bills
Required SkillsFinancial analysis, data entry, communication skillsAttention to detail, invoice processing, accounting software proficiency
CertificationsGenerally CPA or accounting certifications beneficialOften requires basic accounting or bookkeeping certifications
Work EnvironmentOffice setting, finance or accounting departmentsOffice setting, finance or accounting departments

Both A R Analysts and Accounts Payable Specialists work within finance departments, but their focus differs. A R Analysts primarily manage incoming payments and customer accounts, while Accounts Payable Specialists handle outgoing payments to vendors. Understanding these distinctions helps in choosing the right career path or job search focus.

How much do AR analysts make in the US?

Accounts receivable (AR) analysts in the US typically earn an average salary ranging from $45,000 to $65,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often supplemented with benefits and bonuses.

Is an AR analyst a good career?

An AR analyst is a financial professional responsible for managing accounts receivable, ensuring timely collections, and maintaining accurate financial records. The role typically requires strong analytical skills, proficiency with accounting software, and attention to detail, with opportunities for career advancement in finance and accounting departments.
What cities near Oxnard, CA are hiring for A R Analyst jobs? Cities near Oxnard, CA with the most A R Analyst job openings:
A R Analyst jobs near you
Infographic showing various A R Analyst job openings in Oxnard, CA as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, 2% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $77,582 per year, or $37.3 per hour.

Operations Research Analyst-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Carpinteria, CA

$74K/yr

Other

Posted 11 days ago

Job description


WHAT IS DATA AND ANALYTICS?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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