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Weekend Data Analyst Jobs in Arizona (NOW HIRING)

Manufacturing 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.

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.

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.

SQL Data Analyst Location: Hybrid - Phoenix, AZ (Local candidates preferred) Duration: 6+ Months We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

Complete projects requiring data mining, analysis and presentation Prioritize business and information needs Extract, import, clean, transform, and validate data Write Structured Query Language (SQL ...

The Operations Data Analyst will play a critical role in advancing fairlife's data driven manufacturing operations to drive continuous improvement on key performance indicators. This position is ...

The Data Analyst plays a critical role in driving data-informed decision-making across the marketing department. This role is responsible for compiling, maintaining, and visualizing regular reports ...

The Operations Data Analyst will play a critical role in advancing fairlife's data driven manufacturing operations to drive continuous improvement on key performance indicators. This position is ...

The Operations Data Analyst will play a critical role in advancing fairlife's data driven manufacturing operations to drive continuous improvement on key performance indicators. This position is ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all ...

Support global freight negotiations with data insights, scenario modeling, and rate analysis. * Perform root-cause analysis on cost variances, billing discrepancies, and service failures across all ...

POSITION SUMMARY The Data Analyst will develop and manage reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing ...

POSITION SUMMARY The Data Analyst will develop and manage reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing ...

Senior Data Analyst

Scottsdale, AZ · On-site

$85K - $108K/yr

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decision making across Appcast. This role is ...

Senior Data Analyst

Scottsdale, AZ

$85K - $108K/yr

This role is responsible for the full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive ...

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Showing results 1-20

Weekend Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do weekend data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for weekend 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 is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
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 cities in Arizona are hiring for Weekend Data Analyst jobs? Cities in Arizona with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Arizona as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.
Manufacturing Data Analyst

Manufacturing Data Analyst

Corning

Phoenix, AZ • On-site

$64K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

84th of 528 rated manufacturers


Job description

Requisition Number: 75553

The company built on breakthroughs. ​  
Join us.​            
             

                                                    

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​ 

​Come break through with us.  

Our Solar business delivers industry leading, U.S.-made solar components. We manufacture hyper-pure polysilicon, high-quality solar wafers, and innovative photovoltaic modules, leveraging our leadership in advanced manufacturing to serve growing energy demand. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers. 

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. This role partners closely with site leadership, cross-functional teams, and IT to ensure the delivery of accurate, timely reporting, identify performance trends, and support continuous improvement initiatives. The Data Analyst plays a key role in enhancing operational visibility and enabling data-driven performance management.


The ideal candidate is highly analytical, detail-oriented, and effective at translating complex data into clear, meaningful insights for a broad range of stakeholders.

Key Responsibilities 

  • Collect, validate, analyze, and report data from manufacturing, warehouse, quality, and business systems to support operational decision-making 
  • Develop, maintain, and enhance recurring reports, dashboards, scorecards, and KPI tracking for site leadership and functional teams 
  • Identify trends, issues, and opportunities through routine and ad hoc analysis to support business decisions, root cause investigations, and process improvements 
  • Partner with operations, supply chain, quality, finance, and IT to improve data quality, reporting consistency, and issue resolution across systems 
  • Assist in defining reporting requirements, KPI standards, and documentation to enable sustainable, repeatable reporting processes 
  • Participate in projects related to operational excellence, digital transformation, and reporting enhancements 

Required Qualifications 

  • Bachelor’s degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information Systems, or related field — or equivalent combination of education and experience 
  • 1–3 years of experience in data analysis, reporting, or business analytics 
  • Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts, data analysis) 
  • Experience with reporting or data visualization tools (e.g., Power BI, Tableau, SAP reporting tools, or similar) 
  • Strong analytical and problem-solving skills with a high attention to detail and commitment to data accuracy 
  • Effective written and verbal communication skills 
  • Ability to manage multiple priorities in a fast-paced environment 

Preferred Qualifications 

  • Experience in manufacturing, warehouse, supply chain, or plant environment 
  • Experience working with SAP, ERP systems, or operational reporting tools 
  • Familiarity with KPI reporting, plant performance metrics, SQL, data querying, or basic data modeling 
  • Exposure to Lean, Six Sigma, or continuous improvement methodologies 
  • Experience supporting cross-functional teams in an industrial or operations setting 

Knowledge, Skills, and Abilities 

  • Proficiency in Microsoft Office, particularly Excel and PowerPoint 
  • Working knowledge of business intelligence and data visualization tools 
  • Ability to organize, interpret, and synthesize data from multiple sources 
  • Ability to work both independently and collaboratively across cross-functional teams 

This position does not support immigration sponsorship.  

The range for this position is  $64,873.00 - $89,201.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life.  

Corning offers you the total package.  

 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


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