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Data Analysis Manager Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ ยท On-site

$90K - $130K/yr

... Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML ...

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Data & Analytics Manager

Phoenix, AZ ยท On-site

$120K - $140K/yr

Data & Analytics Manager Salary: $120,000 - $140,000/year + 20% annual bonus Location: HYBRID ... Support sourcing, contract, and spend analysis efforts with reliable, well-structured data

... financial data, identifying trends, and delivering insights that drive business growth and ... As an FP&A Manager , you will collaborate with cross-functional teams, including finance ...

... financial data, identifying trends, and delivering insights that drive business growth and ... As an FP&A Manager , you will collaborate with cross-functional teams, including finance ...

... analysis for GPU, AI accelerators, and data center products through both simulation and hands-on ... Develop innovative thermal metrology techniques for next-generation thermal management solutions ...

Manager FP&A M4

Tucson, AZ ยท On-site

$99K - $130K/yr

This position involves analyzing financial data, preparing reports, and providing insights to support decision-making and financial performance. What You Will Do * Lead and manage a team of finance ...

... data management functions. Supports the design, creation, maintenance, tuning and support of the organization's relational and dimensional databases, and OLAP Cubes. Leads the data analysis and ...

... data management functions. Supports the design, creation, maintenance, tuning and support of the organization's relational and dimensional databases, and OLAP Cubes. Leads the data analysis and ...

Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ... Ability to manage multiple priorities and work in a collaborative team environment * Strong ...

Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ... Ability to manage multiple priorities and work in a collaborative team environment * Strong ...

Data Analyst

Yuma, AZ

$81K - $95K/yr

Data Analysis & Insights * Analyze large, relational datasets to identify trends, inefficiencies ... Able to successfully prioritize and manage multiple critical projects simultaneously with a high ...

Data Analysis & Insights * Analyze large, relational datasets to identify trends, inefficiencies ... Able to successfully prioritize and manage multiple critical projects simultaneously with a high ...

Data Analyst

Tempe, AZ ยท On-site

This role requires a strong ability to manage data, create reports, and collaborate with stakeholders across departments. Key Responsibilities: Data Analysis and Reporting * Collect, clean, and ...

This role requires a strong ability to manage data, create reports, and collaborate with stakeholders across departments. Key Responsibilities: Data Analysis and Reporting * Collect, clean, and ...

... Server Analysis Services Experience with Copilot or AI capabilities Knowledge of Python and R programming languages Understanding of database management and data warehousing concepts Previous ...

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Strong understanding of data analysis and reporting concepts * Ability to create Data Mapping / Technical Specification documents * Excellent communication and stakeholder management skills * Proven ...

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Data Analysis Manager information

See Arizona salary details

$21K

$82.6K

$134.2K

How much do data analysis manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data analysis manager in Arizona is $82,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $101,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Manager, and why are they important?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
What are the most commonly searched types of Data Analysis jobs in Arizona? The most popular types of Data Analysis jobs in Arizona are:
What cities in Arizona are hiring for Data Analysis Manager jobs? Cities in Arizona with the most Data Analysis Manager job openings:
Infographic showing various Data Analysis Manager job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,625 per year, or $39.7 per hour.

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

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, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
Responsibilities
โ€ข Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
โ€ข Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
โ€ข Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
โ€ข Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
โ€ข Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
โ€ข Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
โ€ข Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
โ€ข Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
โ€ข Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
โ€ข Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
โ€ข Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
โ€ข Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
โ€ข Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
โ€ข Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
โ€ข Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
โ€ข Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
โ€ข Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
โ€ข Strong analytical, problem-solving, communication, and stakeholder management skills.
Base Salary Range : $90,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.