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Data Visualization Analyst Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ... analytics and reporting

This role requires a mix of technical skills in programming, data visualization with general ... analysis. 2. Bachelor's degree in Computer Science, Engineering, Construction Management, or a ...

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Data visualization tools * Ability to leverage AI to generate quicker insights * Coursework in ...

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 ... Data visualization tools * Ability to leverage AI to generate quicker insights * Coursework in ...

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 ... Data visualization tools * Ability to leverage AI to generate quicker insights * Coursework in ...

Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division ... Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling ...

Tempe Headquarters (850 W Rio Salado Pkwy, Tempe, AZ 85281) Business Analyst/Solutions Developer ... data visualization, and process reengineering - Excellent communication skills and a positive ...

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Hands-on expertise in data warehousing and architecture, data modelling, master data, big data analytics, real-time analytics, and data visualization, and reporting * Hands-on management of SQL ...

Showing results 41-60

Data Visualization Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do data visualization analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data visualization analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a data visualization analyst?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the typical daily responsibilities of a data visualization analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What are the key skills and qualifications needed to thrive in a data visualization analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the most commonly searched types of Data Visualization Analyst jobs in Arizona?

The most popular types of Data Visualization Analyst jobs in Arizona are:

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

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

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

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

Infographic showing various Data Visualization Analyst 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, with an average salary of $77,011 per year, or $37 per hour.

Data Engineer

Sarian, Inc.

Phoenix, AZ • On-site

$111K - $133K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

JD:
Technical/Functional Skills
1) Strong proficiency in SQL and database technologies
2) Familiarity with data warehousing and data modelling concepts
3) Hands-on experience with Google Cloud Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
6) Knowledge of Airflow and CI/CD pipelines
7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc
Roles & Responsibilities
• Design, develop, and maintain data architectures and infrastructure
• Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions
• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Monitor, troubleshoot, and improve the performance and reliability of data systems.
• Monitor BigQuery usage and manage cost-effective scaling of resources.
• Develop and maintain data models to support analytics and reporting