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Sas Entry Level Jobs in Georgia (NOW HIRING)

Sas Entry Level information

See Georgia salary details

$12

$41

$67

How much do sas entry level jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for sas entry level in Georgia is $41.38, according to ZipRecruiter salary data. Most workers in this role earn between $29.04 and $51.97 per hour, depending on experience, location, and employer.

What are the entry level SAS positions?

Entry-level SAS positions typically include roles such as SAS Analyst, SAS Programmer I, or Data Analyst, focusing on data management, analysis, and reporting using SAS software. These roles often require basic knowledge of SAS programming, statistical concepts, and may involve working under supervision to support data-driven decision-making.

What are entry level SAS job titles?

Entry-level SAS job titles typically include SAS Analyst, SAS Programmer I, Data Analyst, and Junior SAS Developer. These roles often involve basic data analysis, report generation, and using SAS software tools, with some positions requiring familiarity with programming languages like SQL or Python. They are suitable for recent graduates or those new to data analytics and often require foundational knowledge of statistical methods and data management.

Is it hard to get hired at SAS?

SAS Entry Level positions typically require a basic understanding of data analysis, programming skills in SAS or similar tools, and a relevant degree. Competition can be moderate, and strong analytical skills and certifications can improve chances of being hired. The hiring process often involves technical assessments and interviews to evaluate problem-solving abilities.

What SAS jobs are in high demand?

Entry-level SAS jobs in high demand include data analyst, business analyst, and statistical programmer roles. These positions often require knowledge of SAS software, data management, and statistical analysis, with industries such as healthcare, finance, and government agencies actively hiring for these skills.

What are some typical projects or tasks assigned to SAS entry-level professionals in their first year?

SAS entry-level professionals often start by supporting data preparation, cleaning, and basic statistical analysis using SAS software. They may work on routine reporting, automating data extraction processes, or assisting senior analysts with larger projects. Collaboration is common, with entry-level staff frequently working alongside data scientists, business analysts, or IT teams to ensure data accuracy and timely delivery. Over time, they are gradually given more responsibility and may contribute to more complex analyses or process improvements.

What are SAS Entry Level jobs?

SAS Entry Level jobs are positions for individuals who are beginning their careers using SAS (Statistical Analysis System) software. These roles typically involve data management, statistical analysis, and report generation using SAS tools. Entry-level professionals may work in industries such as healthcare, finance, or marketing, and are often responsible for supporting data-driven decision-making by processing and analyzing data sets. Basic knowledge of SAS programming and familiarity with data analytics concepts are usually required for these positions.

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

To thrive as an Entry Level SAS Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with SAS programming software, data management tools, and basic SQL is typically required, and completion of SAS certification can be advantageous. Attention to detail, analytical thinking, and effective communication skills help you interpret data and share findings clearly with stakeholders. These competencies are essential for extracting actionable insights from data and supporting informed business decisions.

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

AspectSas Entry LevelData Analyst
Required CredentialsBasic SAS certification or trainingBachelor's in Data Science, Statistics, or related field
Work EnvironmentData analysis teams, healthcare, finance, or marketing sectorsBusiness, finance, healthcare, and technology industries
Employer UsageEmployers seeking entry-level data management and analysis skillsEmployers requiring data interpretation and reporting skills

The main difference is that Sas Entry Level roles focus on basic SAS software skills for data management, while Data Analyst positions often require broader analytical skills and a higher level of education. Sas Entry Level is ideal for those starting in data roles with SAS, whereas Data Analyst roles may involve working with multiple tools and more complex data interpretation.

What are the most commonly searched types of Sas jobs in Georgia? The most popular types of Sas jobs in Georgia are:
What cities in Georgia are hiring for Sas Entry Level jobs? Cities in Georgia with the most Sas Entry Level job openings:
Infographic showing various Sas Entry Level job openings in Georgia as of June 2026, with employment types broken down into 5% Locum Tenens, 5% As Needed, 62% Full Time, 23% Part Time, and 5% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $86,067 per year, or $41.4 per hour.

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

Atlanta, GA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
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)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

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.

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