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Entry Level Sas Risk Analyst Jobs in Raleigh, NC

This position supports executive decision making with regard to scenario analysis, risk appetite ... Proficient with statistical software programming tools such as R, Python, SAS. Preferred Education ...

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

Design, create and implement advanced analytics and forecasting models to optimize business ... Previous coding experience in Python, R, SAS or a related language * Ability to communicate complex ...

Risk Modeling Intern

Raleigh, NC

$14.50 - $19.50/hr

Design, create and implement advanced analytics and forecasting models to optimize business ... Previous coding experience in Python, R, SAS or a related language * Ability to communicate complex ...

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

Design, create and implement advanced analytics and forecasting models to optimize business ... Previous coding experience in Python, R, SAS or a related language * Ability to communicate complex ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Sas Risk Analyst information

See Raleigh, NC salary details

$14

$39

$64

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

As of Sep 15, 2026, the average hourly pay for entry level sas risk analyst in Raleigh, NC is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $47.88 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Entry Level Sas Risk Analyst jobs in Raleigh, NC?

For Entry Level Sas Risk Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Sas Risk Analyst jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Sas Risk Analyst jobs in Raleigh, NC are:

Infographic showing various Entry Level Sas Risk Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $81,859 per year, or $39.4 per hour.

Managed Services - SAS BI Developer - Senior Associate

Raleigh, NC

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Key responsibilities

  • Analyzing complex datasets to extract actionable insights and support data-driven decision-making

  • Developing and implementing data visualization solutions using tools like Power BI and Tableau

  • Managing data integrity and quality to validate reliable and accurate reporting


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - SAS BI Developer - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data, Analytics & AI practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, anticipate the needs of your teams and clients, and deliver quality solutions. You will navigate increasingly complex situations, growing your personal brand and enhancing your technical skills.
In this role at PwC, you will be part of a dynamic team that focuses on leveraging data to drive insights and make informed business decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. This position offers the opportunity to deepen your skills in data analysis and client support, contributing to optimizing operations and achieving strategic goals.
Responsibilities
- Analyzing complex datasets to extract actionable insights and support data-driven decision-making
- Developing and implementing data visualization solutions using tools like Power BI and Tableau
- Conducting predictive modeling and statistical analysis to identify trends and inform strategic planning
- Collaborating with clients to understand their data needs and deliver tailored analytics solutions
- Managing data integrity and quality to validate reliable and accurate reporting
- Utilizing Microsoft SQL Server Data Tools for efficient data manipulation and analysis
- Creating and maintaining dashboards to track key performance indicators and business metrics
- Leading research initiatives to explore new data analytics methodologies and technologies
- Preparing comprehensive reports and presentations to communicate findings and recommendations
- Supporting the development of data-driven strategies to optimize client operations and achieve business goals
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Utilizing advanced data analysis techniques to drive insights
- Developing complex data models to support business decisions
- Leveraging Power BI and Tableau for impactful data visualization
- Conducting predictive analytics to anticipate client needs
- Excelling in complex data analysis and statistical methodologies

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK