1

Statistical Programming Jobs in Arizona (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

SQL Developer(35348)

Phoenix, AZ · On-site

$45 - $61.50/hr

Using various tools, develop reports, summaries, and visual representations of data, perform statistical programming, develop databases and provide consultation and technical assistance to the ...

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

next page

Showing results 1-20

Statistical Programming information

See Arizona salary details

$78.7K

$137.3K

$232K

How much do statistical programming jobs pay per year?

As of May 30, 2026, the average yearly pay for statistical programming 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 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 strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

Is SAS programming in demand?

SAS programming is in demand in industries such as healthcare, finance, and pharmaceuticals, especially for data analysis and reporting roles. Many organizations seek professionals skilled in SAS, along with knowledge of statistical methods and data management, making it a valuable skill in the job market for statistical programmers.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Arizona? The most popular types of Statistical Programming jobs in Arizona are:
What cities in Arizona are hiring for Statistical Programming jobs? Cities in Arizona with the most Statistical Programming job openings:
Infographic showing various Statistical Programming job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 70% Full Time, 16% Part Time, 2% Temporary, 10% Contract, and 1% Nights. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $137,259 per year, or $66 per hour.

Marketing Analytics Senior Manager

Ra

Phoenix, AZ • On-site

Full-time

Posted 29 days ago


Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Senior Manager

Job Level: Senior Level


Job Description:

This is what you will do..


You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.


Qualifications

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.