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Remote Data Jobs in Gilbert, AZ (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire) Interview Process: 2 Rounds (1 Culture Fit + 1 Technical Interview) Role Summary: As a Mid-Level Data and ...

Everlight Solar

Project Data Assistant (Remote)

Mesa, AZ · Remote

$30K - $40K/yr

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar ... This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham ACCOUNTABILITIES: Design, develop, test, and maintain data pipelines, dataflows, notebooks ...

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Remote Data information

See Gilbert, AZ salary details

$45.9K

$164.5K

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How much do remote data jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote data in Gilbert, AZ is $164,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Gilbert, AZ? The most popular types of Data jobs in Gilbert, AZ are:
What are popular job titles related to Remote Data jobs in Gilbert, AZ? For Remote Data jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Gilbert, AZ look for? The top searched job categories for Remote Data jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Data jobs? Cities near Gilbert, AZ with the most Remote Data job openings:
Remote Data jobs near you
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 24 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

263rd of 281 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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