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Entry Level Sas Risk Analyst Jobs (NOW HIRING)

The Risk Adjustment Healthcare Analyst (P3) is a senior-level individual contributor responsible ... Technical Skills Proficiency in SQL and analytic tools such as SAS, R, or similar. Experience with ...

The Risk Adjustment Healthcare Analyst (P3) is a senior-level individual contributor responsible ... Technical Skills Proficiency in SQL and analytic tools such as SAS, R, or similar. Experience with ...

Analyst Risk Controlling (m/w/d) Country: Austria Die Santander Consumer Bank ist ein profilierter ... Gute Kenntnisse in MS Office und Datenbanken (SAS, SQL, Data-Warehouse) * Sehr gute ...

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Entry Level Sas Risk Analyst information

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$65

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

As of May 31, 2026, the average hourly pay for entry level sas risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

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

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 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 are entry level SAS Risk Analysts?

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.

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What cities are hiring for Entry Level Sas Risk Analyst jobs? Cities with the most Entry Level Sas Risk Analyst job openings:
What are the most commonly searched types of Sas Risk Analyst jobs? The most popular types of Sas Risk Analyst jobs are:
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What job categories do people searching Entry Level Sas Risk Analyst jobs look for? The top searched job categories for Entry Level Sas Risk Analyst jobs are:
Infographic showing various Entry Level Sas Risk Analyst job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, 26% Part Time, and 10% Contract. Highlights an 100% Physical job distribution, with an average salary of $84,210 per year, or $40.5 per hour.

Risk Analyst I, Business Analytics

Stellantis Financial Services

Dallas, TX • On-site

Other

Posted 21 hours ago


Stellantis Financial Services rating

8.2

Company rating: 8.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citron, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:
The Risk Analyst I, Business Analytics, will be responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks for Stellantis Financial Services as an organization. The Risk Analyst I, Business Analytics, will also collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities.

Essential Duties and Responsibilities:

  • Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools.
  • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions.
  • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections.
  • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team.
  • Build, recalibrate, and validate advanced predictive models.
  • Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors.
  • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data.
  • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets.
  • This position involves regular access to sensitive consumers personal information, including, but not limited to, Social Security numbers and dates of birth.
  • Other duties as assigned.

Required Experience:

  • Two (2) years of experience in data analytics, such as data mining, business analytics and databases.
  • Proficient with SQL, Fabric, Python, R or other business intelligence software.
  • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI.
  • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations.
  • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing.
  • Detail oriented with problem solving and critical thinking abilities.
  • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form.
  • Effective verbal and written communication and interpersonal skills.

Education:

  • Bachelors Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Overtime required required on an as needed basis.

  • Travel 0-10% - as required on an as needed basis.
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX.

Qualifications Preferred:

  • Masters Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred!
  • Prior Auto finance or captive industry is a plus!

Physical Demands

Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule

  • Ability to work between the hours of 8AM - 6PM, Monday through Friday and weekends as needed.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.