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Entry Level Statistical Programmer Jobs in Austin, TX

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Ability to incorporate a variety of statistical and machine learning techniques. * Basic ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

At an entry level, performs engineering support duties. This position develops competence by ... facility statistics. Field research may involve various physical activities. - Prepares basic ...

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AutoCAD Drafter

Austin, TX · On-site

$23/hr

At an entry level, performs drafting. This position develops competence by performing structured ... Reads and interprets engineering drawings, construction drawings and other technical information.

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS, Engineering, or ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS, Engineering, or ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS, Engineering, or ...

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Entry Level Statistical Programmer information

See Austin, TX salary details

$83.8K

$146K

$246.8K

How much do entry level statistical programmer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level statistical programmer in Austin, TX is $145,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Austin, TX?

The most popular types of Statistical Programmer jobs in Austin, TX are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Austin, TX?

For Entry Level Statistical Programmer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in Austin, TX look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Austin, TX are:

Infographic showing various Entry Level Statistical Programmer job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $145,997 per year, or $70.2 per hour.

Managed Services - Data Engineer - Senior Associate

Pwc

Austin, TX • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work.
In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a dynamic team that uses a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers an opportunity to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Developing and implementing innovative data solutions to optimize business performance and enhance competitive advantage
- Leveraging advanced analytics techniques to drive insights and support informed business decisions for clients (DB2, SQL Server)
- Building and maintaining data pipelines and architectures to support data collection and analysis (DataStage, ETL)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create insightful reports and dashboards (AWS, Redshift)
- Collaborating with stakeholders to identify data challenges and opportunities for continuous process improvement (GoldenGate, CDC)
- Applying analytical thinking and data science skills to interpret complex data sets and inform strategic recommendations
- Engaging in stakeholder management to foster meaningful client connections and anticipate their needs (managed services)
- Navigating complex situations to deliver quality work and contribute to personal and professional growth (Workload Scheduler)
- Upholding professional and technical standards in all client engagements and deliverables
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing Business Intelligence tools like QlikView and Oracle BI
- Developing data architecture and data pipeline solutions
- Excelling in data visualization and interpretation techniques
- Applying analytical thinking to solve complex data challenges
- Embracing change and demonstrating learning agility in dynamic environments

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