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Statistical Programmer Jobs in Arizona (NOW HIRING)

Analytics Engineer III

Phoenix, AZ

$57 - $76.75/hr

Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics). * 5 years of experience with advanced programing in SQL ...

Sr. Quality Engineer

Tucson, AZ

$83K - $113K/yr

Adept at applying statistical tools and quality methodologies such as Six Sigma, Core tools, SPC ... Provide quality engineering expertise to assure compliance to specifications. * Leads activities to ...

Sr. Quality Engineer

Tucson, AZ

$83K - $113K/yr

Adept at applying statistical tools and quality methodologies such as Six Sigma, Core tools, SPC ... Provide quality engineering expertise to assure compliance to specifications. * Leads activities to ...

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech ...

Be Seen First

Apply statistical methods and structured problem-solving techniques to improve process capability and product performance. * Mentor engineers, technicians, and cross-functional team members while ...

Apply statistical analysis and data-driven methodologies to improve quality, reliability, process ... Troubleshoot packaging and manufacturing issues using engineering principles and analytical problem ...

Apply statistical methods and science-based decisions to design experiments and implement ... Provide technical and sustaining engineering support in a manufacturing area. Troubleshoot and ...

Sr. Quality Assurance Engineer

Phoenix, AZ

$87K - $119K/yr

The Sr. Quality Engineer has sole responsibility for the planning, implementation, and ... Strong knowledge of statistical methods for use in developing solutions to complex problems ...

Sr. Quality Assurance Engineer

Phoenix, AZ · On-site

$87K - $119K/yr

The Sr. Quality Engineer has sole responsibility for the planning, implementation, and ... Strong knowledge of statistical methods for use in developing solutions to complex problems ...

QUALITY ENGINEER

Chandler, AZ · On-site

$70K - $90K/yr

Define and/or develop appropriate inspection method/plans including the use of relevant statistical ... Engineering, or equivalent experience. Working knowledge of basic and advanced Quality Tools ...

Apply statistical analysis and data-driven methodologies to improve quality, reliability, process ... Troubleshoot packaging and manufacturing issues using engineering principles and analytical problem ...

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Statistical Programmer information

See Arizona salary details

$78.7K

$137.3K

$232K

How much do statistical programmer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for statistical programmer in Arizona is $137,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $149,100.00 per year, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions, working closely with statisticians and data managers in a regulated environment.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Arizona? The most popular types of Statistical Programmer jobs in Arizona are:
What cities in Arizona are hiring for Statistical Programmer jobs? Cities in Arizona with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Arizona as of June 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,259 per year, or $66 per hour.

$57 - $76.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Republic Services rating

7.2

Company rating: 7.2 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

27th of 71 rated recycling and waste


Job description

POSITION SUMMARY: The Analytics Engineer III designs, develops, maintains, and continuously refines analytics and reporting solutions. This position is responsible for ETL processes, data warehouses, cubes, dashboards, and model deployment. The Analytics Engineer III leads projects, mentors developers, and educates users. The Analytics Engineer III stays up-to-date on the latest technology and implements proof-of-concepts to stay ahead of the technology demands of internal customers. This position will develop technology road maps and maintain system and tool documentation.
PRINCIPAL RESPONSIBILITIES:
  • Designs, validates and evaluates solutions using Python, SQL and other programming tools.
  • Designs and builds analytical solutions for customer analytics, sales analytics
  • Designs and implements the architecture, tools, and processes needed to provide the "single source of truth" to support data-driven decision making, and self-service.
  • Develops and manages end-to-end project plans and ensure on-time delivery.
  • Educates and mentors team members on data, reports, and tools.
  • Writes ETL scripts using SQL Server Integration Services (SSIS) or similar tools to consume and process new data into the data warehouse.
  • Designs and builds automated processes that leverage Excel, SQL and VBA to facilitate data transfer across teams
  • Designs dashboards and tools to allow users to consume and interact with data.
  • Implements in-database machine learning solutions using SQL Server and R/Python.
  • Performs other job-related duties as assigned or apparent.
  • Preferred: Experience in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents, while embedding Responsible AI practices across model development, deployment, and governance

KNOWLEDGE / SKILLS / ABILITIES:
  • Proficiency with relational databases and the ability to write SQL queries.
  • Proficiency with programming in Python in data science and/or engineering settings.
  • Proficiency with Excel and PowerBI.
  • Proficiency with source control (e.g. Github,) in a multi-developer environment.
  • Proficiency with cloud computing environments (e.g. AWS).

QUALIFICATIONS:
  • Master's degree.
  • 5 years of demonstrated experience working with relational databases in the context or developing ETL processes and implementing data and analytics solutions.
  • 5 years of experience maintaining databases and tools in a production environment including query performance tuning and proactive maintenance.
  • Demonstrated expertise working with formal software development methodologies.
  • Demonstrated expertise developing and maintaining pricing optimization and/or operational efficiency algorithms in a cloud computing environment (e.g. AWS) and or/enterprise IT environments.

MINIMUM QUALIFICATIONS:
  • Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics).
  • 5 years of experience with advanced programing in SQL and R or Python, deploying analytics models and tools in a production environment with relational databases.

Rewarding Compensation and Benefits
Eligible employees can elect to participate in:
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).
• Paid Time Off (PTO)
• Benefits: https://jobs.republicservices.com/us/en/about-us/benefits
The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.
EEO STATEMENT:Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law. For any concerns relating to Republic Services' commitment to equal opportunity employment, you may contact the AWARE Line at 1-866-3-AWARE-4.
ABOUT THE COMPANY
Republic Services, Inc. (NYSE: RSG) is a leader in the environmental services industry. We provide customers with the most complete set of products and services, including recycling, waste, special waste, hazardous waste and field services. Our industry-leading commitments to advance circularity and support decarbonization are helping deliver on our vision to partner with customers to create a more sustainable world.
In 2025, Republic's total company revenue was $16.6 billion, and adjusted EBITDA was $5.3 billion. We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.
Although we operate across North America, the collection, recycling, treatment, or disposal of materials is a local business, and the dynamics and opportunities differ in each market we serve. By combining local operational management with standardized business practices, we drive greater operating efficiencies across the company while maintaining day-to-day operational decisions at the local level, closest to the customer.
Our customers, including small businesses, major corporations and municipalities, want a partner with the expertise and capabilities to effectively manage their multiple recycling and waste streams. They choose Republic Services because we are committed to exceeding their expectations and helping them achieve their sustainability goals. Our 42,000 team members understand that it's not just what we do that matters, but how we do it.
Our company values guide our daily actions:
  • Safe: We protect the livelihoods of our colleagues and communities.
  • Committed to Serve: We go above and beyond to exceed our customers' expectations.
  • Environmentally Responsible: We take action to improve our environment.
  • Driven: We deliver results in the right way.
  • Human-Centered: We respect the dignity and unique potential of every person.

We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 5.1 million people in 2024 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.
STRATEGY
Republic Services' strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers' multiple waste streams through a North American footprint of vertically integrated assets.
We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.
With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.
Recycling and Waste
We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific needs.
Environmental Solutions
Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need.
Sustainability Innovation
Republic's recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth.
The Republic Services Polymer Center is the nation's first integrated plastics recycling facility. These innovative sites process rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America.
Our customers are increasingly looking for decarbonization solutions, and we are leveraging our network of landfills to meet that need. Republic is committed to harnessing landfill gas, a natural byproduct of decomposing waste, and converting it to energy. Republic has partnered with renewable gas developers to construct Renewable Natural Gas (RNG) plants at our landfills, expanding beyond the 77 projects we currently have to make progress towards our goal to beneficially reuse 50% more biogas by 2030 (2017 baseline year).
RECENT RECOGNITION
  • Barron's 100 Most Sustainable Companies
  • CDP Discloser
  • Dow Jones Best-In-Class Indices
  • Ethisphere's World's Most Ethical Companies
  • Fortune World's Most Admired Companies
  • Great Place to Work
  • Sustainability Yearbook S&P Global

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