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A R Analyst Jobs in Columbus, IN (NOW HIRING)

USM

Data Scientist

Columbus, IN · On-site

... differing analytical use-cases. Deliver results and presentations in a timely manner. Lead ... Proficiency in SQL and R, Python, SAS Enterprise Miner, SPSS, Stata, Matlab, Minitab, or JMP. (Must ...

Valeo

P-30 Program Engineer

Seymour, IN · On-site

Strong analytical skills with a focus on "Data and Analytics" to drive operational excellence. Join ... The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities ...

Valeo

P-30 Program Engineer

Seymour, IN · On-site

Strong analytical skills with a focus on "Data and Analytics" to drive operational excellence. Join ... The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities ...

RBC Bearings

Quality Engineer IV (QUALI003171)

Franklin, IN · On-site

$67K - $87K/yr

... and root cause analysis and continuous improvement. Key Position Responsibilities: * Acts ... A.S.E, AS9100, NADCAP, Honeywell S/R and including any Customer Audits requested. * Supports the ...

Valeo

Injection Process Engineer

Seymour, IN · On-site

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are ... You will support APU Managers / Site Manager in the analysis of issues * You will estimate ...

Valeo

Injection Process Engineer

Seymour, IN · On-site

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are ... You will support APU Managers / Site Manager in the analysis of issues * You will estimate ...

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Showing results 1-20

All JobsA R Analyst JobsA R Analyst Jobs in Columbus, IN

A R Analyst information

See Columbus, IN salary details

$28.8K

$68.1K

$120.9K

How much do a r analyst jobs pay per year?

As of Jul 11, 2026, the average yearly pay for a r analyst in Columbus, IN is $68,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $80,900.00 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 Columbus, IN are hiring for A R Analyst jobs? Cities near Columbus, IN with the most A R Analyst job openings:
A R Analyst jobs near you
Infographic showing various A R Analyst job openings in Columbus, IN as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $68,137 per year, or $32.8 per hour.

Data Scientist-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Columbus, IN • On-site

$74K/yr

Other

Posted 6 days ago

New

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
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):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
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 dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least 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: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, 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 includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, 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 includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education: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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