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Analyst Jobs in Springfield, OR (NOW HIRING)

Earn Haus

Consumer Insights Analyst

Eugene, OR · On-site

$20/hr

We are urgently seeking people interested in taking market research studies for well known brands. If you are a self-starter, looking for flexible hours throughout the week, this may be for you! Earn ...

Earn Haus

Consumer Insights Analyst

Eugene, OR · On-site

$20/hr

We are urgently seeking people interested in taking market research studies for well known brands. If you are a self-starter, looking for flexible hours throughout the week, this may be for you! Earn ...

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Showing results 1-20

All JobsAnalyst JobsAnalyst Jobs in Springfield, OR

Analyst information

See Springfield, OR salary details

$34.2K

$78.9K

$128.3K

How much do analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for analyst in Springfield, OR is $78,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $93,200.00 per year, depending on experience, location, and employer.

What is the difference between Analyst vs Data Scientist?

AspectAnalystData Scientist
Required CredentialsBachelor's degree in related field; often certifications in data analysis or business intelligenceBachelor's or master's degree in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness settings, using tools like Excel, SQL, and BI softwareTechnical environments, using programming languages like Python or R, and machine learning tools
Employer & Industry UsageFinance, marketing, healthcare, and retail sectorsTech companies, research institutions, and industries requiring advanced data modeling
Common Search & Comparison IntentUnderstanding role differences, required skills, and career pathsExploring advanced data analysis, modeling, and predictive analytics

While both roles analyze data to support business decisions, analysts focus on interpreting data using standard tools, whereas data scientists develop complex models and algorithms to predict future trends. The choice depends on your technical skills and career goals.

What does an analyst job do?

An analyst's job involves collecting, analyzing, and interpreting data to help organizations make informed decisions. They use tools like spreadsheets, databases, and data visualization software, and often require strong analytical skills and attention to detail. Analysts may work in various fields such as finance, marketing, or operations, and often need relevant certifications or technical knowledge.

What Do Analysts Do?

Analysts work in many different industries and specialties. They plan, organize, define, identify and interpret opportunities for improvement in many areas. They analyze information in business, data, research, and finance to integrate a better model or process to facilitate greater returns and smoother operations.

What jobs pay $500,000 a year in the US?

For analysts, reaching a $500,000 annual salary typically requires senior roles such as senior financial analysts, data science managers, or specialized consultants with extensive experience, advanced skills, and often in high-paying industries like finance, investment banking, or technology. These positions may include bonuses, profit sharing, or stock options that significantly boost total compensation. Achieving this level often involves advanced certifications, a strong professional network, and a track record of high performance.

What are the key skills and qualifications needed to thrive as an Analyst, and why are they important?

To thrive as an Analyst, you need strong analytical thinking, quantitative skills, and a relevant degree such as in finance, business, or data science. Familiarity with data analysis tools (like Excel, SQL, or Python), business intelligence platforms, and sometimes certifications such as CFA or CAP are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for presenting insights and collaborating with stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive informed business decisions.

Do analysts make good money?

Analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level analysts often start with lower pay, but experienced analysts with specialized skills or certifications can earn higher salaries, sometimes exceeding six figures annually. Salary data from industry sources indicates that analyst roles generally offer solid compensation compared to many other entry-level positions.

How do Analysts typically collaborate with other departments within an organization?

Analysts often work cross-functionally, collaborating closely with teams such as finance, marketing, operations, and IT to collect data, understand business needs, and provide actionable insights. This collaboration usually involves regular meetings, data sharing, and joint project work to ensure that analyses align with organizational goals. Effective communication and teamwork are key, as Analysts must translate complex data findings into clear recommendations for non-technical stakeholders. Building strong relationships with other departments helps Analysts stay informed about business priorities and deliver more impactful results.

What does an Analyst do?

An Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. Their responsibilities often include researching trends, preparing reports, and providing insights that guide business strategies. Analysts work in various fields such as finance, marketing, operations, or data analysis, and use specialized tools and software to analyze information. They play a key role in identifying opportunities for improvement and supporting the decision-making process within a company.

What degree does an analyst need?

An analyst typically needs at least a bachelor's degree in fields such as business, finance, economics, statistics, or related areas. Some roles may require or prefer a master's degree or professional certifications like CFA or CPA, especially for advanced or specialized positions.
More about Analyst jobs
What are the most commonly searched types of Analyst jobs in Springfield, OR? The most popular types of Analyst jobs in Springfield, OR are:
What are popular job titles related to Analyst jobs in Springfield, OR? For Analyst jobs in Springfield, OR, the most frequently searched job titles are:
What job categories do people searching Analyst jobs in Springfield, OR look for? The top searched job categories for Analyst jobs in Springfield, OR are:
What cities near Springfield, OR are hiring for Analyst jobs? Cities near Springfield, OR with the most Analyst job openings:
Analyst jobs near you
Infographic showing various Analyst job openings in Springfield, OR as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,946 per year, or $38 per hour.

Operations Research Analyst-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Eugene, OR

$74K/yr

Other

Posted 10 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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