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Statistical Analyst Jobs in Phoenix, AZ (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ · On-site

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be ... Use statistical techniques to interpret data and provide recommendations. * Work closely with cross ...

Cytel

Principal Statistical Programmer FSP

Phoenix, AZ · On-site

This individual will be responsible for implementing all reporting and analysis activities for the Sponsor clinical trials. As a Principal Statistical Programmer, your responsibilities will include:

MMS

Study Design Statistician (Remote)

Phoenix, AZ · On-site

Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

HOPCo

Medical Economics Analyst

Phoenix, AZ · On-site +1

Statistical analysis and data modeling • Contract & Product Knowledge: 2+ years of experience analyzing capitated and fee-for-service provider contracts across: • Medicare, Medicare Advantage ...

eMove Inc

Data Analyst

Phoenix, AZ · On-site

... A/B testing and statistical analysis, Working with Databricks or similar large-scale data platforms such as BigQuery, Microsoft Azure, SQL Server, UX/UI design principles and user journey ...

Arizona 811

Be Seen First

Data Analyst

Tempe, AZ · On-site

Practical experience in statistical analysis through use of business intelligence tools and software * Experience with multiple database and geospatial applications, including PostgreSQL.

DataAnnotation

Economic Analyst - AI Trainer

Phoenix, AZ · On-site +1

$40/hr

Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world ...

DataAnnotation

Pricing Analyst - AI Trainer

Phoenix, AZ · On-site +1

$40/hr

Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world ...

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Statistical Analyst information

See Phoenix, AZ salary details

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$116.7K

How much do statistical analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for statistical analyst in Phoenix, AZ is $69,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $80,400.00 per year, depending on experience, location, and employer.

What Is a Statistical Analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

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

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges Statistical Analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What does a Statistical Analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

Are statisticians highly paid?

Statisticians, including statistical analysts, tend to earn competitive salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary based on experience, education, industry, and location, but overall, the profession is considered well-compensated compared to many other roles in data and analysis fields.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

More about Statistical Analyst jobs
What are the most commonly searched types of Statistical Analyst jobs in Phoenix, AZ? The most popular types of Statistical Analyst jobs in Phoenix, AZ are:
What are popular job titles related to Statistical Analyst jobs in Phoenix, AZ? For Statistical Analyst jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst jobs in Phoenix, AZ look for? The top searched job categories for Statistical Analyst jobs in Phoenix, AZ are:
Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Phoenix, AZ as of May 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $69,951 per year, or $33.6 per hour.
Statistical Analyst - AI Trainer

Statistical Analyst - AI Trainer

DataAnnotation

Phoenix, AZ • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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