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Entry Level Sas Analyst Jobs (NOW HIRING)

Corys

Temp. Mechanical Engineer

Jacksonville, FL · On-site

This is a temporary, full-time entry-level position working in our nuclear power simulation group ... You are able to analyze complex problems and reach conclusions on how to move forward with ...

Corys

Temp. Mechanical Engineer

Jacksonville, FL · On-site

$34 - $36/hr

This is a temporary, full-time entry-level position working in our nuclear power simulation group ... You are able to analyze complex problems and reach conclusions on how to move forward with ...

Thinkbrg

Fall 2027 Advisory Associate

Tampa, FL

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ...

Thinkbrg

Fall 2027 Advisory Associate

New York, NY

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ...

Thinkbrg

Fall 2027 Advisory Associate

Boston, MA

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ...

Thinkbrg

Fall 2027 Advisory Associate

Chicago, IL

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ...

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Entry Level Sas Analyst information

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

As of Aug 12, 2026, the average hourly pay for entry level sas analyst in the United States is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.65 per hour, depending on experience, location, and employer.

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 proficiency with SAS programming, often supported by a degree in mathematics, statistics, or a related field. Familiarity with SAS software, data management tools, and sometimes certification like SAS Base Programmer is typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data and present insights clearly. These skills ensure accurate data analysis, valuable business insights, and successful collaboration with stakeholders.

What does an entry level SAS analyst do?

An Entry Level SAS Analyst is responsible for using SAS (Statistical Analysis System) software to collect, manage, and analyze data. Their tasks often include cleaning data, running statistical analyses, generating reports, and supporting senior analysts or data scientists. They help organizations make data-driven decisions by ensuring data integrity and providing insights based on their analyses. Entry level analysts typically collaborate with team members and may also assist in automating data processes using SAS programming.

What are some common challenges faced by entry level SAS analysts in their first few months on the job?

Entry-level SAS analysts often find the steep learning curve of understanding existing data structures and legacy code to be a primary challenge. Additionally, they may need to quickly adapt to organizational standards for data management and reporting while collaborating with more experienced data professionals. Balancing multiple projects and learning industry-specific terminologies can also be demanding. However, most organizations provide training and mentorship to help new analysts acclimate and grow in their roles.
What cities are hiring for Entry Level Sas Analyst jobs? Cities with the most Entry Level Sas Analyst job openings:
What are the most commonly searched types of Sas Analyst jobs? The most popular types of Sas Analyst jobs are:
What states have the most Entry Level Sas Analyst jobs? States with the most job openings for Entry Level Sas Analyst jobs include:
What job categories do people searching Entry Level Sas Analyst jobs look for? The top searched job categories for Entry Level Sas Analyst jobs are:
Entry Level Sas Analyst jobs near you
Infographic showing various Entry Level Sas Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $103,758 per year, or $49.9 per hour.

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Pwc

San Francisco, CA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th 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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