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Data Analytics Jobs in Goodyear, AZ (NOW HIRING)

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

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 ...

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

Performs data analytics on various processes and projects to measure post-implementation performance. Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings.

Deliver Solutions - Partner with development teams to implement analytics templates and processes ... Monitoring data integrity for accuracy in reporting. * Utilizing broad understanding of all ...

Development Data Analyst

Phoenix, AZ · On-site

$55K - $65K/yr

Reporting & Analytics * Develop and maintain fundraising dashboards to track: * Revenue performance ... Segment donor data to support targeted fundraising and marketing initiatives. * Translate complex ...

Required Qualifications: · Bachelor''s degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, or a related field. · 1-3 years of experience in a Data ...

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

Join Claims-Advanced Analytics as a Data Analyst with a focus on visualization & dashboard creation, where your expertise will shape the future of claims analytics and deliver high-impact insights to ...

Potential to share and teach skills around advanced data analytics and data evaluation * Handling a variety of responsibilities under pressure and functioning independently Relevant tasks:

Potential to share and teach skills around advanced data analytics and data evaluation * Handling a variety of responsibilities under pressure and functioning independently Relevant tasks:

Sr Data Analyst

Phoenix, AZ · Hybrid

$85K - $107K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ...

Showing results 21-40

Data Analytics information

See Goodyear, AZ salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics in Goodyear, AZ is $53.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What are the most commonly searched types of Data Analytics jobs in Goodyear, AZ?

The most popular types of Data Analytics jobs in Goodyear, AZ are:

What cities near Goodyear, AZ are hiring for Data Analytics jobs?

Cities near Goodyear, AZ with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Goodyear, AZ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $111,260 per year, or $53.5 per hour.

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 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
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• 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.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
• 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.
• 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.