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Remote Data Analyst Assistant Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Troubleshoot report issues, research data discrepancies, and implement corrective actions. * Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies ...

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

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 ...

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data ... Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ...

$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 ...

$65K - $120K/yr

... and data stewardship activities. Develop and/or review test plans, monitor testing (assist with ... Remote work is a management option and not an employee entitlement or right. An agency may ...

$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 roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Partners with IT to build USAA core information delivery capabilities and assist process owners in ...

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Remote Data Analyst Assistant information

Can a data analyst be a virtual assistant?

A data analyst can perform virtual assistant tasks if they have skills in organization, communication, and basic administrative tools. However, the roles are distinct: data analysts focus on data interpretation and reporting, while virtual assistants handle administrative support. Combining both roles may require additional training in office management and communication tools.

How does a Remote Data Analyst Assistant typically collaborate with team members and stakeholders?

As a Remote Data Analyst Assistant, collaboration is often facilitated through digital tools such as video conferencing platforms, shared project management software, and cloud-based data repositories. You’ll regularly communicate with data analysts, project managers, and sometimes clients to clarify data requirements, receive feedback, and update progress. Proactive communication and clear documentation are key to ensuring your analyses align with team objectives and timelines. While you may work independently on data preparation and basic analysis tasks, most projects involve frequent check-ins and collaborative problem-solving sessions.

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

To thrive as a Remote Data Analyst Assistant, you need a solid understanding of data analysis principles, basic statistics, and proficiency in spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, Google Sheets, SQL, and visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for collaborating remotely and ensuring data accuracy. These skills are vital for delivering reliable analytical support and maintaining productivity in a distributed work environment.

How can I make 2000 a week working from home?

A remote data analyst assistant can increase earnings by taking on multiple clients, working overtime, or offering specialized services such as data visualization or reporting. Building a strong skill set in tools like Excel, SQL, or Python and gaining certifications can also help command higher rates. Consistent high-quality work and effective time management are essential for reaching a weekly income of $2000.

What is a Remote Data Analyst Assistant?

A Remote Data Analyst Assistant is a professional who supports data analysts and data teams by performing tasks such as data collection, data cleaning, basic analysis, and report preparation, all while working from a remote location. They often use software tools to organize and process data, generate visualizations, and help ensure data accuracy. Their role is crucial in helping organizations make data-driven decisions efficiently, even when team members are not all in the same physical office.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer remote work options, and candidates typically need strong analytical skills and relevant experience or certifications to qualify.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but a remote data analyst assistant's role involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. AI is a complement to data analysts, enhancing productivity rather than replacing the need for skilled professionals in the field.

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

AspectRemote Data Analyst AssistantRemote Data Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, supporting data teams with entry-level tasksRemote or on-site, performing complex data analysis and reporting
Employer & Industry UsageBusinesses, startups, and organizations needing support rolesCompanies requiring in-depth data insights and strategic analysis
Common Search & ComparisonOften searched together for entry-level roles or support positionsCompared for advanced data analysis roles or career progression

The Remote Data Analyst Assistant typically handles entry-level data support tasks with basic credentials, working in a remote environment for various organizations. In contrast, the Remote Data Analyst performs more complex analysis, often requiring higher education and experience. Both roles are common in data-driven industries, but they differ in responsibilities and skill levels.

What are the most commonly searched types of Remote Data Analyst jobs in Arizona? The most popular types of Remote Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Analyst Assistant jobs? Cities in Arizona with the most Remote Data Analyst Assistant job openings:
Data Analyst

$5.7K - $6.5K/mo

Full-time

Posted 4 days ago


Job description

Job Code: DATANLST

Reports To: Manager, Data Services
Base Location: AZ or CO

Work Status: Virtual Office

Minimum Starting Monthly Range: $5,757

Hiring Range (Monthly Pay): $5,757 - $6,583

Full-time / Part-time Full-time

Exempt / Non-Exempt Exempt

Risk Designation: Extremely High


Summary
The Data Analyst will work as part of the Data Services team under the direction of the Manager, Data Services to implement, maintain, and support Contexture's reporting solutions. This role will translate approved report specifications into production ready reports, supporting report automation activities, and ensuring timely delivery of reporting products to internal and external stakeholders. This position serves as a technical resource for report development and implementation while collaborating with cross-functional teams to ensure data accuracy, consistency, and alignment with organizational reporting standards.

This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.


Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Duties and Responsibilities include the following:

  • Develop, implement, and maintain reports based on approved business and technical specifications.
  • Support report implementation activities, testing, and customer onboarding for new reports.
  • Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data.
  • Develop and maintain SQL queries, data extracts, and report logic required for report production.
  • Execute report validation and quality assurance activities to ensure accuracy and completeness of report outputs.
  • Support recurring production and delivery of reports to customers and internal stakeholders.
  • Troubleshoot report issues, research data discrepancies, and implement corrective actions.
  • Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies, and tools.
  • Maintain report documentation, technical specifications, and operational procedures.
  • Analyze clinical, claims, SDOH, operational, and financial data to support reporting requirements.
  • Performs other related duties as assigned.

Skills

  • Demonstrated experience developing, implementing, and supporting reporting solutions, data extracts, and analytical deliverables.
  • Experience supporting recurring report production, report distribution, and operational reporting processes.
  • Experience creating and maintaining report specifications.
  • Experience working with relational databases and analytical datasets to support reporting, business intelligence, and data analysis.
  • Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
  • Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
  • Ability to validate data accuracy, identify data quality issues, perform root cause analysis, and implement corrective actions.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
  • Technical Skills and Experience:
    • Experience working with large and complex datasets that are both structured and unstructured data
      • Required Languages: Python and SQL
      • Required Libraries: PyData stack
    • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
    • SQL query development using query planning and optimization techniques
    • File manipulation across varied file types, encodings, formats, and standards
    • Secure Software Development Lifecycle (SSDLC), version control, and release management
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Strong understanding of project management disciplines such as Agile and Waterfall.
  • Ability to translate business requirements and technical specifications into accurate and scalable reporting solutions.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Effective verbal and written communication skills with the ability to explain data findings and reporting outputs to technical and non-technical stakeholders.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience

  • Minimum of 3+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 2+ years working with relational databases, 2+ years working with analytical data.
  • A Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.


Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Physical Demands

The physical demands described here are representative of those necessary to perform the essential functions of the role:

  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.

Benefits: The organization provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.


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