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Weekend Data Analyst Jobs (NOW HIRING)

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information ...

: Data Analyst Location: Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application ...

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

Data Analyst (Reference Data Management - RDM) Location: Wilmington, DE (Onsite) Employment Type: Full-Time Position Summary We are seeking a highly analytical and detail-oriented Data Analyst with ...

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

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 ...

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Client seeks to hire a Data Analyst resource to provide data analysis and management support. Must have at least 10 years overall in Data Analyst experience. Complete Description: The role of the ...

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical ...

Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts ...

Data Analyst Duration: Contract to Hire Location: Canton, MA Work Mode: Hybrid Position Overview System One is seeking an experienced Data Analyst to support complex data, analytics, and information ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive ...

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh ...

Data Analyst Apply now Job no: 507110 Work type: Full-Time Location: University City - Philadelphia, PA Categories: Drexel University, Dornsife School of Public Health Job Summary The Dornsife School ...

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Weekend Data Analyst information

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$34K

$82.6K

$136K

How much do weekend data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for weekend data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 is a weekend data analyst?

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.

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.

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 cities are hiring for Weekend Data Analyst jobs? Cities with the most Weekend Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Weekend Data Analyst jobs? States with the most job openings for Weekend Data Analyst jobs include:
Infographic showing various Weekend Data Analyst job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Winaxis

Dallas, TX • On-site

Full-time

Re-posted 19 hours ago


Job description

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor’s degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.