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Data Analyst Data Science Jobs in Arizona (NOW HIRING)

National Data Analyst

Phoenix, AZ · On-site

$60K - $65K/yr

National Data Analyst LOCATION: Optional (Phoenix strongly preferred) DEPARTMENT: Great Hearts ... Advanced undergraduate/graduate-level statistical, data science, and research design skills ...

Senior Data Analyst

Scottsdale, AZ · On-site

$85K - $108K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field ... Advanced degree (Master's/MBA) is a plus, not required * 4-6+ years in data analytics, data science ...

Senior Data Analyst

Scottsdale, AZ

$85K - $108K/yr

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related ... field   * Advanced degree (Master's/MBA) is a plus, not required  * 4-6+ years in data ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division's RPA and AI initiatives. * Collaborate: Work closely with Finance stakeholders to identify key ...

Data Analyst Location: Tempe, AZ (Onsite Tuesday-Thursday) - Local Candidates Only Duration: 6-Month Contract-to-Hire W2 Contract Visa: Must be able to convert to full-time without sponsorship. We ...

ARIZONA 811 is seeking Data Analyst candidates who have a great aptitude, phenomenal presentation ... Bachelor's degree in mathematics, computer science, or statistics * Three (3) or more years of ...

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Data Analyst Data Science information

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 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 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 the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.
What cities in Arizona are hiring for Data Analyst Data Science jobs? Cities in Arizona with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Arizona as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
National Data Analyst

National Data Analyst

Great Hearts Academies

Phoenix, AZ • On-site

$60K - $65K/yr

Full-time

Posted 20 days ago


Job description

POSITION: National Data Analyst
LOCATION: Optional (Phoenix strongly preferred)
DEPARTMENT: Great Hearts America

SALARY RANGE: $60,000-$65,000 depending upon experience
REPORTS TO: Chief Strategy Officer
FLSA: Salaried, exempt

Company Description
Great Hearts is a nonprofit network of public charter schools dedicated to improving education nationwide through classical preparatory K-12 academies. A Great Hearts education prepares students to be more than just proficient test takers; rather, it prepares them to become great-hearted and virtuous leaders capable of success throughout their higher education and professional careers. With a curriculum built upon a character-centered, classical liberal arts tradition and a revolutionary approach to school itself, Great Hearts cultivates the hearts and minds of students through the pursuit of Truth, Goodness, and Beauty. Great Hearts serves over 30,000 students in Arizona, Texas, Louisiana and online.
Position Summary
The National Data Analyst position is grant funded with an anticipated start date of October 1, 2026, to continue for an approved four years of the grant. The National Data Analyst will support the timely and compliant collection, organization, automation, visualization, interpretation, and presentation of critical academic and operational data across the Great Hearts network. Working under the primary direction of the Chief Strategy Officer, this role will help to administer and enhance the annual survey cycle, support required data collection and reporting for key external and internal stakeholders, strengthen data systems and practices in new and existing regions, and partner closely with the Director of Academic Data Systems and other academic and operational leaders. Above all else, the National Data Analyst must be a cheerful utility player possessed of initiative, who is constantly looking to deploy and enhance his/her professional capacities and technical skills to make our Great Hearts more efficient, effective, and data-informed.
Duties & Responsibilities
  • Design, enhance, and maintain critical academic and operational data sets and systems for Great Hearts.
  • Support the development, deployment, and maintenance of Power BI interfaces, dashboards, and other critical data products in collaboration with the Director of Academic Data Systems.
  • Use descriptive and inferential statistical tools to analyze data sets, identify trends and patterns, and generate insights that support diagnostic, predictive, and strategic decision-making
  • Contextualize Great Hearts' data, where appropriate, through comparison with local and national statistics, benchmarks, and trends.
  • Prepare reports and presentation for executive leadership and other stakeholders that communicate trends, patterns findings, and predictions clearly to non-specialist audiences.
  • Support timely and compliant annual data reporting to grant-makers, state and federal agencies, and other external stakeholders.
  • Provide accurate and insightful academic and operational data analysis to Great Hearts teams in support of planning, improvement, accountability, and decision-making.
  • Assist with the administration and refinement of the annual Great Hearts survey cycle to support continual organizational improvement.
  • Collaborate with organizational leaders to identify opportunities for process improvement, recommend system modifications, and strengthen policies and practices for data governance.
  • Support the development of sound data systems and practices in new regions and the integration and enhancement of data systems across existing regions.
  • Build collaborative working relationships with academic, operational, and regional leaders to ensure data products and reporting practices meet organizational needs.
  • Perform additional duties as assigned.

Qualifications, Competencies, and Strengths:
  • Advanced undergraduate/graduate-level statistical, data science, and research design skills (demonstrated either by formal qualifications or verifiable work product)
  • Familiarity with K-12 settings and policies and key K-12 data sources; 2 years direct experience in a K-12 setting is desireable but not essential.
  • Expertise in data collection, cleaning, analysis and interpretation
  • Experience with visualization and analysis tools and packages such as Power BI, Tableau, Qualtrics; and in communicating data science concepts to non-technical audiences.
  • Experience using statistical computer languages such as e.g. R, Python, SLQ, or SPSS, to manipulate data and draw insights from large data sets is highly preferred.
  • Experience working with and creating data architectures.
  • Understanding of key principles of research design and familiarity with quantitative and qualitative methodologies.
  • Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical significance, sampling, etc.) and experience with applications.
  • Knowledge of sound survey design.
  • Excellent written and verbal communication skills, including the ability to communicate data science concepts clearly to non-technical audiences.
  • A drive to learn and master new technologies and techniques.

Virtuous Ethos
  • Disciplined work ethic
  • Committed spirit of servant leadership
  • Excellent communications skills
  • Effective relational skills
  • Humble attitude of collaboration and partnership
  • Prudent decision-making practices

Additional Requirements
  • Must possess or obtain valid Arizona Department of Public Safety IVP Level One fingerprint clearance card.
  • Physical functions: Requires but is not limited to standing, sitting, repetitious hand and body movements, bending, squatting, and reaching. May be required to move or position equipment up to 15 pounds approximately.
  • Travel: Must be willing to travel to Phoenix periodically, if located elsewhere.

This description reflects management's assignment of essential functions; it does not exclude or restrict the tasks that may be assigned.
#NI
Employment is contingent upon successful completion of a criminal history background check and fingerprint clearance in accordance with state requirements.
Travel required: May need to travel locally for training and professional development opportunities.
This description reflects management's assignment of essential functions. It does not exclude or restrict the tasks that may be assigned.
Great Hearts Academies is an Equal Opportunity Employer.