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Weekend Data Analyst Jobs in Texas (NOW HIRING)

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

Overview SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

Overview SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

Overview SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

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 ...

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and ...

Data Analyst

Austin, TX · On-site

$75K/yr

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support project decisions, improve operational efficiency, and provide insights that drive strategic planning.

Data Analyst Location: Richardson TX/Hybrid model Duration: long-term contract Required Skills & Qualifications * 6+ years of experience in Data Analytics / Business Intelligence * Strong expertise ...

Data Analyst at a growth-oriented energy company * Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on ...

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data ...

The Data Analyst will be a key member of MP Magnetics analytics team. Position Responsibilities: * Collect, clean, and integrate data from multiple disparate sources, including ERP systems ...

Data Analyst Who we are Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ...

Data Analyst

Austin, TX · Hybrid

$70K - $75K/yr

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO.

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Weekend Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do weekend data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weekend data analyst in Texas is $76,992.00, 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 Texas? The most popular types of Data Analyst jobs in Texas are:
What job categories do people searching Weekend Data Analyst jobs in Texas look for? The top searched job categories for Weekend Data Analyst jobs in Texas are:
What cities in Texas are hiring for Weekend Data Analyst jobs? Cities in Texas with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Texas 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 $76,992 per year, or $37 per hour.
Data Analyst - Data Operations

Data Analyst - Data Operations

LP Analyst

Dallas, TX • On-site

Full-time

Posted 20 days ago


Job description

Job Summary:
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.
Responsibilities:
• Support the build-out and maintenance of ETL/ELT pipelines that collect, transform, and load financial data from multiple sources into our internal platform, ensuring accuracy and completeness
• Leverage AI-based tools for automated data extraction and validation, helping to assess output quality and flag exceptions that require review or correction
• Write and optimize SQL queries to support data transformation, validation, and quality assurance across our internal data platform
• Identify manual, Excel-heavy workflows and assist in transitioning them to automated, repeatable solutions
• Monitor pipeline performance and data quality, flagging and resolving issues to ensure accurate and timely client data delivery
• Interpret varied reporting formats and practices across private capital strategies, applying judgment to ensure data is accurately captured and consistently represented regardless of source format
• Communicate effectively with team leads, senior colleagues, and non-technical teammates, translating technical processes and findings into clear business terms and escalating issues through appropriate channels
• Contribute to documentation of pipelines, data flows, and processes to build shared knowledge across the team
• Assist in testing and QA of new pipeline builds and enhancements before deployment
• Respond to ad hoc data requests from internal teams, pulling and summarizing data as needed to support day-to-day business operations
• Adhere to data governance standards including naming conventions, data definitions, and data integrity practices, with an awareness of the accuracy and compliance expectations of a financial services environment
• Work collaboratively with cross-functional teams, including client services, to meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a deadline-driven environment
Qualifications:
Required:
• 0–3 years of experience in a data, analytics, or operations role
• Hands-on experience with Python, including writing scripts for data processing or automation
• Working knowledge of SQL, including writing queries to extract, transform, and validate data
• Exposure to AI-based data tools or a demonstrated curiosity about applying AI and automation to data workflows
• Familiarity with ETL/ELT concepts and data pipeline fundamentals
• Proficiency in Excel and/or Power Query for data manipulation and analysis
• Strong attention to detail and a genuine commitment to data quality
• Ability to work collaboratively within a team and communicate clearly with both technical and non-technical colleagues
• Bachelor's degree in Finance, Business Analytics, Data Science, Computer Science, or a related field
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Preferred:
• Understanding of financial data — fund accounting, investment data, or financial statements experience — is a plus
Company:
LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community. Founded in 2011, the company is headquartered in Dallas, USA, with a team of 51-200 employees. The company is currently Growth Stage.