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Weekend Data Jobs in Arizona (NOW HIRING)

Contexture

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

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 ...

Quantix

Data Analyst

Phoenix, AZ

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Tucson, AZ · On-site

The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into actionable insights to support business decision-making. This position involves analyzing complex datasets ...

Mondo

Data Analyst

Phoenix, AZ · On-site

$95K/yr

Data Analyst Location-Type: Hybrid, 4 days/week in Phoenix, AZ (must permanently reside currently in AZ) Start Date: ASAP Duration: Permanent Compensation Range: Up to $95,000 Benefits: Eligible for ...

New

TRAX Corporate Office

Data Collector I

Yuma, AZ · On-site

$23.67/hr

Collects field data consisting of maintaining an accurate and detailed chronological record of all ... Must be able to work all shifts, weekends, holidays, and overtime as needed, sometimes on short ...

Corning

Data Analyst

Tolleson, AZ · On-site

$64K - $89K/yr

Position Summary The Data Analyst supports site operations by transforming data into actionable insights that drive informed decision-making across manufacturing, warehouse, and business functions.

Corning

Data Analyst

Phoenix, AZ · On-site

$64K - $89K/yr

Position Summary The Data Analyst supports site operations by transforming data into actionable insights that drive informed decision-making across manufacturing, warehouse, and business functions.

Quantix

Data Analyst

Phoenix, AZ

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior ...

Introl

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

Shamrock

Master Data Quality Analyst

Phoenix, AZ · On-site

The Master Data Quality Analyst is responsible for maintaining the integrity of master data in ... weekends, and holidays. Corporate Summary: At Shamrock Foods Company, people come first - our ...

Corning

Data Analyst

Tolleson, AZ · On-site

$64K - $89K/yr

Position Summary The Data Analyst supports site operations by transforming data into actionable insights that drive informed decision-making across manufacturing, warehouse, and business functions.

Introl

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

TSMG

Driver/Data Collector in Benson, AZ

Benson, AZ · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

Driver\Data Collector in Tucson, AZ

Tucson, AZ

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

Driver / Data Collector in Tempe, AZ

Tempe, AZ

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

Driver / Data Collector in Tempe, AZ

Tempe, AZ · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

TSMG

Driver/Data Collector in Benson, AZ

Benson, AZ · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...

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All JobsData JobsWeekend Data JobsWeekend Data Jobs in Arizona

Weekend Data information

See Arizona salary details

$9

$18

$45

How much do weekend data jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for weekend data in Arizona is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $13.07 and $18.90 per hour, depending on experience, location, and employer.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

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

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

The most popular types of Data jobs in Arizona are:

What cities in Arizona are hiring for Weekend Data jobs?

Cities in Arizona with the most Weekend Data job openings:

Weekend Data jobs near you
Infographic showing various Weekend Data 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 $39,072 per year, or $18.8 per hour.

Data Analyst

Contexture

Phoenix, AZ • On-site

$5.7K - $6.5K/mo

Full-time

Re-posted 6 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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