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Remote Data Analyst Jobs in Arizona (NOW HIRING)

Cliftonlarsonallen

Data Analyst Senior

Tucson, AZ · On-site +1

$81K - $102K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$85K - $107K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Walmart

(USA) Senior, Data Analyst

Buckeye, AZ · On-site +1

$80K - $155K/yr

Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location: Buckeye, AZ Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

MUFG

Payments & Wires, Data & Process Analyst

Tempe, AZ · On-site +1

$78K - $106K/yr

Creates a clear path into roles such as data stewardship, data governance, business analysis, risk ... in a remote, crosslocation environment Education * Bachelor's degree in business, finance, or ...

Techoundsllc

Data Engineer -REMOTE

Phoenix, AZ · Remote

$113K - $136K/yr

Key Responsibilities · Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze ... data analysis, automate workflows, or optimize reporting processes. Work Location: Remote

Agile Defense

Data Scientist - A365

Fort Huachuca, AZ · On-site +1

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Perform ad-hoc data analysis to support decision-making. * Conduct data exploration and ...

Agile Defense

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Perform ad-hoc data analysis to support decision-making. * Conduct data exploration and ...

Arizona Department of Administration

$93K/yr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services ARIZONA DEPARTMENT OF ... In this role, you will conduct complex data analysis and develop Transact Structured Query Language ...

USAA

Director-HR Data & Analytics

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

Shutterfly

Sr. Growth Analytics Analyst

Tempe, AZ · On-site +1

$85K - $113K/yr

Your insights will guide stakeholders as they build a world-class, data-driven organization. What ... More details about our company benefits can be found at This opportunity can be remote, but ...

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All JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Arizona

Remote Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do remote data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
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 Remote Data Analyst jobs in Arizona? For Remote Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Arizona look for? The top searched job categories for Remote Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Analyst jobs? Cities in Arizona with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Arizona as of June 2026, with employment types broken down into 56% Full Time, 36% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.
Analyst- Analytics and Data Science II-III (Remote)

Analyst- Analytics and Data Science II-III (Remote)

Blue Cross Blue Shield of Arizona

Phoenix, AZ • On-site, Remote

Full-time

Posted 8 days ago

Blue Cross Blue Shield Of Arizona rating

5.9

Company rating: 5.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

256th of 277 rated insurance

Job description

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
  • Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
  • Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
  • Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
  • Onsite: daily onsite requirement based on the essential functions of the job
  • Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building

Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
Purpose of the job
  • Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
Qualifications
REQUIRED QUALIFICATIONS
Required Work Experience
  • 1 year of experience in data analysis using analytic tools and processes (Level 1)
  • 3 years of experience in data analysis using analytic tools and processes (Level 2)
  • 3 years of experience working for a healthcare organization/heath insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
  • 5 years of experience working for a healthcare organization/heath insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)

Required Education
  • Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)

Required Licenses
  • N/A

Required Certifications
  • N/A

PREFERRED QUALIFICATIONS
Preferred Work Experience
  • 1 year of experience in data analysis working for a healthcare organization / health insurer (Level 1)
  • 3 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Level 2)
  • 5 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
  • Master's Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
  • N/A

Preferred Certifications
  • N/A

ESSENTIAL job functions AND RESPONSIBILITIES
Level 1
  • Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
  • Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
  • Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
  • Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
  • Model financial impact analyses for a variety of business initiatives
  • Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
  • Act as liaison to both internal business partners and external providers or vendors
  • Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
  • Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
  • Complete projects within preset timelines and report status to supervisor and project manager.
  • Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
  • Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).

Level 2
  • Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
  • Perform complex analyses and interpret complex calculations to recommend actions and solutions
  • Develop financial models needed to accomplish analytic goals
  • Serve as subject matter expert for internal stakeholders
  • Design and deliver self-service business intelligence tools to internal customers
  • Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
  • Effectively communicate results and recommendations to internal and external customers.
  • Provide self- and peer-review of job responsibilities
  • Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
  • Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.

Level 3
  • Create and research analyses and recommendations which help achieve corporate initiatives and goals
  • Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
  • Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
  • Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
  • Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
  • Train and mentor other analysts.

Level 4
  • Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
  • Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
  • Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
  • Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
  • Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.

ALL LEVELS
  • Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
  • The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
  • Perform all other duties as assigned.

competencies
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
  • Intermediate PC proficiency
  • Intermediate proficiency in database, presentation, spreadsheet and word processing software
  • General proficiency in mathematical concepts
  • Intermediate proficiency in computer programming, including SAS and other business intelligence programs
  • Intermediate understanding of data management principles
  • Advanced skills in mathematics and statistics (Applies to Levels 2 - 4)
  • Intermediate skill with SAS/SQL programming (Applies to Levels 2 - 4)
  • Advanced understanding of data management principles (Level 3-4)
  • Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
  • Intermediate skill with data visualization tools, such as Tableau (Level 3-4)

Required Professional Competencies (Applies to All Levels)
  • General knowledge of the healthcare industry
  • Broad understanding of health insurance terms and concepts
  • Analytical knowledge necessary to generate analytic solutions
  • Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
  • Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
  • Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
  • Ability to maintain confidentiality and privacy
  • Ability to communicate effectively, both orally and in writing, to all levels in all departments
  • Ability to distill and communicate financial levers and impacts to non-technical audiences
  • Ability to build and maintain productive working relationships with others
  • Proactive about requesting enough information to fully understand and meet the business need.

Required Leadership Experience and Competencies (Applies to All Levels)
  • N/A

PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
  • Advanced proficiency in spreadsheet, database and word processing software
  • Intermediate proficiency with data warehouses and query tools / design
  • Intermediate skill with data visualization tools, such as Tableau
  • Intermediate proficiency with development, testing, and management of Tableau Dashboards
  • Intermediate understanding of data management principles
  • Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
  • Familiarity with provider network design processes and strategies
  • Knowledge of health benefit design and rating techniques
  • Advanced skills in mathematics and statistics
  • Proficiency in SAS Enterprise Business Intelligence software
  • Advanced understanding of data management principles

Preferred Professional Competencies (Applies to All Levels)
  • Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status

Preferred Leadership Experience and Competencies (Applies to All Levels)
  • Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
  • Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
  • High standard of performance while pursuing aggressive goals
  • Principled leadership and sound business ethics

Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.

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