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Entry Level Sas Risk Analyst Jobs in Everett, WA

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

... also applying risk analysis methodologies across various domains. Responsibilities : • ... software packages (SAS and R are preferred) • Ability to work independently and in ...

Pwc

IT Audit/SOX - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

... risk management processes - Utilizing auditing methodologies and data analysis techniques to ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Partnership Tax Senior Associate - SALT

Seattle, WA · On-site

$55K - $187K/yr

... reducing risk. In this role, you will review and analyze complex tax data and support internal ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Boeing

Procurement Agent

Everett, WA · On-site

$63K - $78K/yr

This entry-level procurement role provides hands-on supplier-facing responsibility, exposure to ... Gather and analyze data for supplier performance evaluation and improvement opportunities. Basic ...

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Entry Level Sas Risk Analyst information

See Everett, WA salary details

$16

$44

$72

How much do entry level sas risk analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level sas risk analyst in Everett, WA is $44.72, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $54.42 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level SAS risk analysts during their first year on the job?

Entry-level SAS Risk Analysts often encounter challenges such as learning to interpret complex data sets, mastering SAS tools under tight deadlines, and adapting to the fast pace of risk management environments. Collaboration with senior analysts and cross-functional teams is vital, as is communicating findings to stakeholders who may not have a technical background. Developing effective time management skills and continuously seeking feedback can help new analysts overcome these challenges and quickly become valuable contributors to their teams.

What is an entry level SAS risk analyst?

Entry level SAS Risk Analysts are professionals who use SAS (Statistical Analysis System) software to analyze data and identify, assess, and report on financial or operational risks within an organization. They typically work under supervision to support senior analysts or risk managers, preparing risk reports, performing data extractions, and assisting in the development of risk models. These roles often serve as an entry point into risk management or data analytics careers, requiring strong analytical skills, attention to detail, and a basic understanding of SAS programming.

What is the difference between Entry Level Sas Risk Analyst vs Entry Level SAS Data Analyst?

AspectEntry Level SAS Risk AnalystEntry Level SAS Data Analyst
Required CertificationsBasic SAS certifications, risk management knowledgeBasic SAS certifications, data analysis skills
Work EnvironmentFinancial institutions, insurance companiesCorporations, consulting firms, data-driven industries
Industry UsageRisk assessment, compliance, financial analysisData reporting, business intelligence, analytics

Both roles require foundational SAS skills and entry-level certifications. The SAS Risk Analyst focuses on risk management within financial sectors, while the SAS Data Analyst emphasizes data analysis and reporting across various industries. Understanding these differences helps candidates target their skills and career goals effectively.

What are the key skills and qualifications needed to thrive as an entry level SAS risk analyst?

To thrive as an Entry Level SAS Risk Analyst, you need a solid background in statistics, data analysis, and a bachelor's degree in a related field such as finance, mathematics, or computer science. Familiarity with SAS software, Microsoft Excel, and possibly risk management certifications are typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and conveying risk insights. These skills ensure accurate risk assessment, support data-driven decision-making, and help organizations manage financial or operational risks efficiently.
What job categories do people searching Entry Level Sas Risk Analyst jobs in Everett, WA look for? The top searched job categories for Entry Level Sas Risk Analyst jobs in Everett, WA are:
Entry Level Sas Risk Analyst jobs near you
Infographic showing various Entry Level Sas Risk Analyst job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,024 per year, or $44.7 per hour.

Statistical Scientist (Ph.D.)

Exponent

Bellevue, WA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Exponent is a premium engineering and scientific consulting firm that addresses unique challenges through multidisciplinary expertise. The Statistical Scientist will work within the Data Sciences Practice, focusing on data collection, management, visualization, and inferential analysis, while also applying risk analysis methodologies across various domains.
Responsibilities:
• Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling
• Applying risk analysis methodologies to problems in engineering, health, finance, ecology, and the environment
• Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies
• Developing reports and visualizations to address clients’ scientific and engineering problems and to support litigation
Qualifications:
Required:
• Ph.D. in Statistics, Biostatistics, or a related field
• Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
• Experience or capabilities in such subject areas as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control/improvement
• Minimum of 2 years' experience with one or more statistical software packages (SAS and R are preferred)
• Ability to work independently and in multidisciplinary teams
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Preferred:
• Programming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferred
Company:
With over 90 scientific and engineering disciplines, Exponent’s staff of approximately 900, located in 20 offices throughout the USA Founded in 1967, the company is headquartered in Menlo Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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