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Virtual Data Analyst Jobs in Arizona (NOW HIRING)

Big Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Analytics processing, OLAP, NoSQL , federated SQL. * Service platforms: cloud computing, PaaS, SaaS, virtual data storage solutions and related integration * BI & data analytics: reporting, OLAP ...

... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ... If you would like more information about how your data is processed, please contact us. apply for ...

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Virtual Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do virtual data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for virtual data 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 does a typical workday look like for a Virtual Data Analyst?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What is a Virtual Data Analyst job?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What are the key skills and qualifications needed to thrive in the Virtual Data Analyst position, and why are they important?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Arizona? The most popular types of Data Analyst jobs in Arizona are:
What are popular job titles related to Virtual Data Analyst jobs in Arizona? For Virtual Data Analyst jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Virtual Data Analyst jobs? Cities in Arizona with the most Virtual Data Analyst job openings:

Big Data Architect

blueStone

Phoenix, AZ • On-site

$63.25 - $81.50/hr

Full-time

Posted 8 days ago


Job description

Company Description

blueStone Recruiting is a national search firm with a focus of placing top Web and Applications talent from the Analyst level to Directors of Networking and Infrastructure with prestigious organizations nationwide We are working with a large Financial company who is Looking for someone who has designed solutions, or designed architecture, transitions from current state to future state architectures, design of services integration layer or data integration layers, etc. Transformation - looked at current state of data architecture. A B C D - transition from current state to future state

Candidate must have a minimum of 6 years' experience in end-to-end data solutions, implementing and designing end-to-end information solution architectures. Candidate must have executive presence and ability to interact with executive client suite. Experience in the financial services industry is preferred.

Deep proven ability to successfully create and manage data solutions and implementations in a big four consulting environment is required. Ability to provide alternative solutions to solve specific or strategic problems that require a combination of the skill set described below.

Job Description
  • Candidate must have a minimum of 6 years' experience in end-to-end data solutions, implementing and designing end-to-end information solution architectures. Candidate must have executive presence and ability to interact with executive client suite. Experience in the financial services industry is preferred.
  • Deep proven ability to successfully create and manage data solutions and implementations in a big four consulting environment is required. Ability to provide alternative solutions to solve specific or strategic problems that require a combination of the skill set described below.
Qualifications
  • Data transformations, solutions architecture, data integration, data warehousing, big data solutions, fast data (in memory) solutions, data platform optimization and performance, related vendor platforms, cost benefit analysis, vendor relations. Specific skills should include solution or design in the following areas:
  • Data management solutions: reference and master data management solutions, unstructured data solutions, content management and related market landscape.
  • Platform and data usage specific data modeling disciplines and techniques. Experience in one or more of the following methodologies; BMPN, TOGAF, CBM, BIAN, Zachman, BMBOK, etc...
  • Data integration solutions; ETL design, messaging, or batch design.
  • Data processing; experience in Hadoop/MapReduce , SQL MPP, In Memory processing (gemfire). Analytics processing, OLAP, NoSQL , federated SQL.
  • Service platforms: cloud computing, PaaS, SaaS, virtual data storage solutions and related integration
  • BI & data analytics: reporting, OLAP, dashboards and predictive analytics solutions and platforms.
  • Masters Degree Required
Additional Information
Work with blueStone recruiting to find your next Big Data role. You can find us at http://bluestonerecruiting.com. We look forward to speaking with you.