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Full Time Data Analytics Jobs in Phoenix, AZ (NOW HIRING)

Contexture

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

... Full-time Exempt / Non-Exempt Exempt Risk Designation: Extremely High Summary The Data Analyst will ... work as part of the Data Services team under the direction of the Manager, Data Services to ...

Contexture

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

... Full-time Exempt / Non-Exempt Exempt Risk Designation: Extremely High Summary The Data Analyst will ... work as part of the Data Services team under the direction of the Manager, Data Services to ...

The State of Arizona

ONCOLOGY DATA SPECIALIST

Phoenix, AZ · On-site

$61K - $64K/yr

ONCOLOGY DATA SPECIALIST Apply now Job No: 543250 Work Type: Full-time Location: PHOENIX Categories ... Leads the internal effort of abstracting and analyzing physical and electronic medical case reports ...

Walmart

(USA) Senior, Data Analyst

Peoria, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Walmart

(USA) Senior, Data Analyst

Cave Creek, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

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All JobsData Analytics JobsFull Time Data Analytics JobsFull Time Data Analytics Jobs in Phoenix, AZ

Full Time Data Analytics information

See Phoenix, AZ salary details

$24

$54

$93

How much do full time data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for full time data analytics in Phoenix, AZ is $54.36, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $61.59 per hour, depending on experience, location, and employer.

What is a full time data analytics job?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

What are the key skills and qualifications needed to thrive as a full time data analytics professional?

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

What are some common challenges faced by professionals in full time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What are the most commonly searched types of Data Analytics jobs in Phoenix, AZ?

The most popular types of Data Analytics jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Full Time Data Analytics jobs?

Cities near Phoenix, AZ with the most Full Time Data Analytics job openings:

Full Time Data Analytics jobs near you
Infographic showing various Full Time Data Analytics job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 17% Hybrid, and 50% Remote job distribution, with an average salary of $113,066 per year, or $54.4 per hour.

Data Scientist Intern - In Office, Scottsdale, AZ only

Sandhills Global, Inc.

Scottsdale, AZ • On-site

Full-time, Internship

Re-posted 9 days ago

Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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