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Data Analytics Masters Jobs in Arizona (NOW HIRING)

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... / MBA with 2+ years of experience * MBA or Bachelor's Degree in Engineering, Scientific field ...

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... / MBA with 2+ years of experience * MBA or Bachelor's Degree in Engineering, Scientific field ...

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... / MBA with 2+ years of experience * MBA or Bachelor's Degree in Engineering, Scientific field ...

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... / MBA with 2+ years of experience * MBA or Bachelor's Degree in Engineering, Scientific field ...

Big Data Architect

Phoenix, AZ

$63.25 - $81.50/hr

BI & data analytics: reporting, OLAP, dashboards and predictive analytics solutions and platforms. * Masters Degree Required Additional Information Work with blueStone recruiting to find your next ...

Masters degree in Business Information Systems Data Analytics or a related degree with 3+ years of relevant experience as a Business Analyst (or similar role) Relevant experience as a Business ...

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Showing results 1-20

Data Analytics Masters information

See Arizona salary details

$22.8K

$99.4K

$177.7K

How much do data analytics masters jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analytics masters in Arizona is $99,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,621.00 and $129,612.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as skills like programming, statistics, and data visualization are learnable later in life. Many successful data scientists start or transition into the field in their 30s or 40s, and continuous learning through online courses and certifications can facilitate this career shift.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making in various industries.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization. It often leads to higher salaries and more senior positions, especially when combined with proficiency in tools like Python, R, and SQL.

What is the average salary for a master data analyst?

The average salary for a master data analyst typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Advanced skills in SQL, data visualization tools, and statistical analysis can influence earning potential.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

Infographic showing various Data Analytics Masters job openings in Arizona as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $99,382 per year, or $47.8 per hour.
Assistant Vice President - Data & Analytics

Assistant Vice President - Data & Analytics

Discount Tire

Scottsdale, AZ • On-site

Full-time

Posted 14 days ago


Discount Tire rating

6.1

Company rating: 6.1 out of 10

Based on 1,049 frontline employees who took The Breakroom Quiz

346th of 728 rated retailers


Job description

Job Summary:
Discount Tire is a privately held company focused on innovation and employee development. They are seeking an Assistant Vice President of Data Science, BI & Strategic Insights to drive their data strategy and optimize core business operations through advanced data science and Business Intelligence.
Responsibilities:
• Data Science Productization & Smart Innovation
• Expand advanced ML/AI products and solutions to optimize $10B in core business operations (e.g., pricing, supply chain, customer churn).
• Identify, validate, and launch data monetization opportunities to create new revenue streams beyond the core business.
• Research and incorporate forward-thinking "smart technologies" (GenAI, Predictive Analytics, automation) to solve complex business problems proactively.
• Oversee the end-to-end model lifecycle to ensure data science solutions are robust, scalable, and integrated into daily workflows.
• Modern Business Intelligence & Democratization
• Transform the BI function from a reactive "report factory" into a proactive "insights engine" focused on real-time, diagnostic, and predictive reporting.
• Architect a self-service BI framework and semantic layer, empowering business users across the enterprise to safely build their own data narratives.
• Incorporate augmented analytics and AI-integrated features into dashboards to enable automated anomaly detection and natural language querying.
• Champion a culture of "storytelling over stats," ensuring all BI products are consumer-grade and lead with clear, actionable business recommendations.
• Proactive Insights & Competitive Analysis
• Level up the insights organization to proactively drive intelligence rather than reacting to historical requests.
• Build and lead a robust competitive analysis unit to provide executive leadership with early warning signals on market shifts and competitor strategies.
• Translate complex quantitative findings into compelling, executive-ready narratives that influence the C-suite and Board of Directors.
• Cultural Maturation & Governance Partnership
• Act as the chief evangelist for maturing the organization’s data-driven decision-making culture and improving enterprise data literacy.
• Partner with the Head of Data Governance to champion the use of governed, high-quality data assets, ensuring "one version of the truth."
• Collaborate cross-functionally to ensure ethical AI usage and strict adherence to data privacy standards in all analytical products.
Qualifications:
Required:
• 12+ years in Data Science, BI, and Analytics, with 6+ years in a senior leadership role within a $1B+ enterprise.
• Master’s or PhD in a quantitative field (Data Science, Statistics, CS) or an MBA with a strong technical background.
• Proven track record of linking data science and BI initiatives to measurable P&L impacts and new revenue generation.
• Deep familiarity with the modern data stack, AI/ML orchestration, and deploying smart tech into production.
• Demonstrated servant leadership, exceptional cross-functional collaboration, and a relentless focus on internal customer service.
Company:
Our boards are a place to gather ideas, share tips, and enjoy the beauty of the automotive world. Your Journey Starts Here. Founded in 1960, the company is headquartered in Scottsdale, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Discount Tire employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Discount Tire logo

About Discount Tire

Sourced by ZipRecruiter

In 1960, Bruce T. Halle founded the first Discount Tire in Ann Arbor, Michigan. Starting with an inventory of only six tires, Halle grew his store by cultivating connections to the community and honoring relationships with customers and employees. Through respect, fairness, and a willingness to always pay it forward, Halle transformed his store into a thriving, responsible business. Today, Discount Tire is America's largest independent tire and wheel retailer. Our 1,100+ locations across 37 states provide a wide range of product choices, affordable pricing, and expert staff. More importantly, all our stores offer the individual customer focus and warm personal touch you'd expect from a neighborhood store. In the spirit of the first Discount Tire store, we maintain commitments to mutual respect and fairness for all through community engagement and responsible growth. Discount Tire continues to prosper because of the vision that lives and thrives in the hearts of our employees, from the store level to the corporate level. Visit one of our stores today and experience the values that make Discount Tire the nation's most trusted tire and wheel retailer. Learn more about our Company, our culture, and our benefits by visiting careers.discounttire.com

Industry

Motor vehicle and motor vehicle parts wholesalers

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

1960