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Data Analyst Data Science Jobs in Arizona (NOW HIRING)

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations.

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations.

Mondo

Data Analyst

Phoenix, AZ · On-site

$95K/yr

This role supports data-driven decision-making by bridging the product and data science functions within the team, translating broad datasets into actionable results. Job Summary * Analyze large and ...

Connexzia

Data Analyst

Scottsdale, AZ

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 ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Tucson, AZ · On-site

The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into ... Data Science, AI, and Cloud Computing. Join our growing team and become part of a company that ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Tucson, AZ · On-site

The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into ... Data Science, AI, and Cloud Computing. Join our growing team and become part of a company that ...

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Arizona

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Arizona?

For Data Analyst Data Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Arizona look for?

The top searched job categories for Data Analyst Data Science jobs in Arizona are:

What cities in Arizona are hiring for Data Analyst Data Science jobs?

Cities in Arizona with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Science Analyst

Phoenix, AZ • On-site

Shamrock
Food Services and Drinking Places • 11 - 50 employees
Learn more about Shamrockexternal

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at the intersection of data, technology, and business operations to develop predictive insights, analytical models, and decision-support tools that improve planning, efficiency, cost management, and service performance.
The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases, build and test analytical models, and translate technical outputs into actionable business recommendations. This role is well suited for a candidate who has strong technical skills but also enjoys applying those skills to practical operational challenges.
Essential Duties:
  • Develop, test, and validate predictive models and machine learning solutions for Supply Chain and Operations use cases.
  • Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems.
  • Support use cases such as demand forecasting, labor forecasting, inventory risk, transportation optimization, order volume prediction, customer behavior trends, productivity analysis, and operational exception detection.
  • Develop and deploy anomaly detection models to identify operational exceptions, service disruptions, inventory irregularities, equipment failures, process deviations, and emerging business risks before they impact performance.
  • Support transportation and logistics optimization initiatives by applying advanced analytics and machine learning techniques to improve route efficiency, reduce fuel consumption, optimize network flows, and enhance service performance.
  • Clean, transform, structure, and analyze large datasets from multiple business systems.
  • Perform exploratory data analysis to identify relationships, trends, anomalies, and improvement opportunities.
  • Collaborate with business stakeholders to understand operational processes, pain points, and decision-making needs.
  • Translate business problems into data science questions, analytical methods, and measurable outcomes.
  • Evaluate model accuracy, performance, stability, and business value.
  • Partners with data engineering and IT teams to access, prepare, and improve data sources needed for modeling and analysis.
  • Create dashboards, visualizations, and presentations to communicate model outputs and recommendations.
  • Document model logic, assumptions, data sources, limitations, and business applications.
  • Support the deployment, monitoring, and ongoing refinement of analytical and machine learning solutions.
  • Stay current on data science, machine learning, AI, and analytics methods that may benefit the business.
  • Other duties as assigned.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Economics, Operations Research, Supply Chain, or a related field required.
  • Master's degree in Data Science, Analytics, Statistics, Operations Research, Computer Science, Industrial Engineering, or related discipline preferred.
  • 2-5 years of experience in data science, analytics, statistical modeling, machine learning, business intelligence, or related analytical roles.
  • Experience applying data science methods to real-world business or operational problems.
  • Experience building predictive models, forecasts, or machine learning prototypes preferred.
  • Proficiency in Python, R, SQL, or similar analytical programming languages.
  • Familiarity with machine learning libraries and methods such as scikit-learn, pandas, NumPy, regression models, classification models, clustering, time series forecasting, or optimization techniques.
  • Strong understanding of statistics, probability, data modeling, feature engineering, and model evaluation.
  • Ability to work with structured and unstructured data from multiple systems.
  • Experience with Power BI, Tableau, Databricks, Azure Machine Learning, Snowflake, or similar platforms preferred.
  • Ability to explain technical concepts to non-technical business stakeholders.
  • Strong problem-solving, critical thinking, and analytical reasoning skills.
  • Strong communication and data storytelling skills.
  • Ability to balance technical depth with practical business applications.
  • Strong attention to detail, data quality, and model reliability.
  • Must be flexible and willing to work the demands of the department which is generally limited to weekdays but may be subject to evenings or weekends due to project or department needs.

Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education, and wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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