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Weekend Data Analyst Jobs in Webster, TX (NOW HIRING)

Gridmatic

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Data quality / observability * Bill run audit: Automate bill validation to catch errors before they reach customers. * Data validation / QA automation Should have - important, less urgent

Raytheon

Principal Analyst Data Manager

Houston, TX

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Stem Xpert

Sr. Charles River Data (CRD) Analyst

Houston, TX · On-site

$82K - $103K/yr

We need a Sr. Charles River Data Analyst who can help client integrate Charles River Data with other accounting system and data management system. Should have prior experience in mapping data from ...

EPMA

Business Analyst - Data Focused

Houston, TX · Hybrid

EPMA is seeking two hands-on Business Analysts for a high-volume data project based onsite in Houston. We need data-focused BA who enjoys working directly with large datasets, bringing structure to ...

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EPMA

Business Analyst - Data Focused

Houston, TX · Hybrid

EPMA is seeking two hands-on Business Analysts for a high-volume data project based onsite in Houston. We need data-focused BA who enjoys working directly with large datasets, bringing structure to ...

New

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Webster, TX

Weekend Data Analyst information

See Webster, TX salary details

$29.8K

$72.5K

$119.3K

How much do weekend data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data analyst in Webster, TX is $72,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $85,100.00 per year, depending on experience, location, and employer.

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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Webster, TX?

The most popular types of Data Analyst jobs in Webster, TX are:

What job categories do people searching Weekend Data Analyst jobs in Webster, TX look for?

The top searched job categories for Weekend Data Analyst jobs in Webster, TX are:

What cities near Webster, TX are hiring for Weekend Data Analyst jobs?

Cities near Webster, TX with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Webster, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,498 per year, or $34.9 per hour.

W2 Role - Data Analyst - Houston, TX HYBRID

Kanak Elite Services Inc

Houston, TX • On-site

Contractor

Re-posted 4 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position               : Data Analyst

Location               : Houston, TX HYBRID (3 days onsite)

Duration              : Contract to hire


PLEASE NOTE: During interview, there will be an assessment given, (duration 30 min) assessing analytical skills & analysis. Total duration of interviews: 1-1/2 hours.
About the role:
The Data Analyst plays a crucial role in driving business success by developing and implementing BI requirements, designing data flows, and creating impactful visualizations that measure and enhance business performance. This role offers the opportunity to collaborate with business leaders, engineers, and analysts to identify innovative data solutions and contribute to continuous improvement and operational excellence. The Data Analyst analyzes data, trends, and insights to create or generate business reports and analytics for internal groups or customers. They obtain and maintain data sets on which analysis is based and collaborate with internal resources to identify and action specific data needs for the business.
Your responsibilities will include:
• Understand business needs and drive process improvements utilizing all available tools and data.
• Develop and document BI reporting requirements to support performance measurement and improvement objectives.
• Collaborate with business leaders, engineers, and analysts to identify new data visualizations and approaches to measure workflow performance.
• Create visually appealing and easy-to-understand reports and dashboards using Microsoft Power BI.
• Design, develop, and maintain data models and programmatic routines (ETL) to acquire data from disparate systems for analysis and presentation.
• Troubleshoot and resolve technical issues in queries, reports, and data integrity, and provide recommendations for optimal data flow and capture.
• Perform data investigation and analysis independently and collect and track data to provide ongoing reporting and ad hoc analysis.
• Use data to highlight key organizational trends and collaborate with businesses to identify insights, trends, and potential opportunities.
• Develop and maintain analytical tools, assist with the development and communication of data analytics strategy, and identify opportunities to optimize systems and reporting.
Required qualifications:
• Minimum of a bachelor’s degree in computer science, CIS/MIS, engineering, mathematics, statistics, or equivalent experience.
• Minimum of 2-3 years of professional experience with data retrieval skills, proficiency in report writing, and data visualization using Microsoft Power BI or equivalent.
• Demonstrated ability to write SQL queries to handle joins, aggregations, and performance optimization.
• Strong experience developing interactive dashboards, building measures, and implementing efficient data models.
• High proficiency in Excel for analyzing large datasets using pivot tables, advanced formulas, and data cleansing techniques.
• Strong problem-solving skills, with the capacity to define problems, collect data, investigate facts, and draw conclusions.
Preferred qualifications:
• Strong interpersonal, oral, and written communication skills.
• Ability to meet deadlines while multitasking.
• Flexible and able to work in a fast-paced, ever-changing environment with multiple priorities/projects.
• Self-starter with a proven ability to take ownership of job responsibilities and ensure successful completion of all projects and requests.

Someone analytical
Drives process improvement
Support data development
Comfortable asking questions
Problem-solving mindset
Organized