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Associate Degree In Data Analytics Jobs in Arizona

Connexzia

Data Analyst

Scottsdale, AZ · On-site

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * 3+ years of experience in a data analytics role. * Proficiency in SQL, Python, R, or other ...

Shamrock

Operations Data Analyst

Phoenix, AZ · On-site

Bachelor's degree in data science, Data Analytics, Engineering or related area. * 3-5 years of ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

Requirements: * 4+ years of experience in data analytics with strong problem-solving skills. * Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

MUFG

AVP, Audit Execution Analytics

Tempe, AZ · Hybrid

$106K - $130K/yr

Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

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How much do associate degree in data analytics jobs pay per month?

As of Aug 10, 2026, the average monthly pay for associate degree in data analytics in Arizona is $5,862.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,316.67 and $6,250.00 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
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Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $70,346 per year, or $33.8 per hour.

Data Analyst

Connexzia

Scottsdale, AZ • On-site

Full-time

Re-posted 17 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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