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

Senior Data Analyst

Houston, TX

$82K - $103K/yr

The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with ...

Ability to work nights and weekends in a rotation * Ability to enter accurate data and prioritize ... Analytical thinking skills * Ability to identify anomalies and problem data * A motivated learner ...

Position Overview The Data Analyst serves as a critical liaison between Finance, IT, Operations, Sales, Customer Service, and other business units to ensure data integrity, accuracy, and alignment ...

New

The Master Data Analyst (SAP) will support critical master data activities for Material Master, BOMs, Routings and Production Versions in SAP. This role will focus on cleaning up product hierarchy ...

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Showing results 1-20

Weekend Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do weekend data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for weekend data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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 Spring, TX? The most popular types of Data Analyst jobs in Spring, TX are:
What are popular job titles related to Weekend Data Analyst jobs in Spring, TX? For Weekend Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Spring, TX look for? The top searched job categories for Weekend Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Weekend Data Analyst jobs? Cities near Spring, TX with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

$82K - $103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

DIRECT HIRE ONLY / NO B2B / NO CONTRACT / NO SPONSORSHIP / NO RELOCATION / HOUSTON CANDIDATES ONLY

Company Information: CARBO is a 45-year-old advanced materials company engineering high-performance ceramic and composite products for the energy, mining, industrial, and construction sectors. Its portfolio spans engineered proppants and production-assurance technologies for oil and gas, CARBOGRIND ceramic grinding media for mining, METAKAO metakaolin additives for construction, and custom pelletizing, coating, and infusion services delivered from CARBO's U.S. manufacturing footprint. Backed by deep technical expertise and a commitment to responsibly produced, durable solutions, CARBO partners with customers worldwide to improve productivity, extend asset life, and lower environmental impact.

Website: www.carbo.tech

Position Summary: The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with Finance and cross-functional leaders to translate financial and operational data into accurate, timely, and decision-ready insights. The position serves as a bridge between business stakeholders and financial/data systems, ensuring trusted reporting, scalable analytics, and continuous process improvement.

Key Roles / Responsibilities: 

  • Prepare, analyze, and reconcile financial statements, including Profit & Loss, Balance Sheet, and Cash Flow reporting.
  • Own and support executive, board, and management reporting, including forecasts, budgets, variance analysis, gross profit, liquidity, and monthly business and financial reviews.
  • Lead forecasting, budgeting, reforecasting, and scenario modeling across business units and shared services.
  • Develop and maintain financial models, KPIs, dashboards, and analytical reports using Power BI, Excel, SQL, and cloud-based data platforms.
  • Analyze revenue, margin, costs, backlog, bookings, invoicing, and operational performance to identify trends, risks, and opportunities.
  • Serve as a subject matter expert for financial and operational data across SAP, SQL Server, CRM, Power BI, Azure Data Lake, and Databricks.
  • Define, validate, and document reporting logic, business rules, mappings, and reconciliations across systems.
  • Design and support AI-enabled analytics, reporting, and automation solutions across finance and business workflows.
  • Support enterprise AI initiatives by identifying finance and analytics use cases, validating outputs, and promoting responsible adoption.
  • Apply project management methodologies (Agile, Waterfall, or hybrid) to plan, execute, and deliver analytics, financial systems, and AI initiatives.
  • Coordinate with cross-functional stakeholders to manage scope, timelines, dependencies, risks, and deliverables.
  • Automate recurring reporting and analytics processes to improve close cadence, accuracy, and scalability.
  • Provide ad-hoc financial, operational, and strategic analysis to support executive decision-making.

Required Education, Experience, and Qualifications:

  • Bachelor’s degree in Finance, Accounting, Information Systems, Economics, Computer Science, Data Analytics, Statistics, or a related field.
  • 5+ years of experience as a Business Analyst, Financial Analyst, FP&A Analyst, or similar role.
  • Strong experience with financial statements, budgeting, forecasting, and variance analysis.
  • Advanced proficiency in Microsoft Excel and financial modeling.
  • Strong experience with Power BI, Power Query, and data visualization.
  • Strong SQL skills, including use of CTEs, window functions, and table/view development to transform, validate, and analyze data.
  • Experience with ERP systems may be considered in lieu of direct experience depending on overall skills and qualifications. 
  • Experience supporting AI-enabled analytics, automation, or decision-support solutions in a business environment.
  • Experience coordinating cross-functional initiatives and managing deliverables, timelines, and dependencies.
  • Ability to communicate complex financial, analytical, AI, and project-related concepts to non-technical stakeholders.
  • Strong analytical, problem-solving, organizational, and time management skills.
  • Ability to manage multiple priorities in a fast-paced, cross-functional environment.

Required Technical Skills:

  • Experience with Python, PySpark, or medallion-style data architecture.
  • Experience documenting data flows, process dependencies, controls, and quality risks.
  • Experience supporting shared services, multiple entities, or multiple business units.
  • Experience automating month-end, executive, board, or finance reporting processes.
  • Experience using AI IDE tools such as Codex, Claude Code, Cursor, or similar.
  • Experience with SAP ECC, SQL Server, scheduled SAP-to-SQL extracts, Azure Data Lake Storage, Databricks, or Delta Lake.
  • Working knowledge of project management methodologies, including Agile, Waterfall, or hybrid approaches.

Working Conditions:

  • Prolonged periods sitting, standing and walking.
  • Must be able to comprehend and follow written and oral instructions.   
  • Must be able to complete tasks even with frequent interruptions.   
  • Must be able to use discretion and independent judgment as needed.   
  • Must be able to speak clearly on the phone and to fellow workers. 

Benefits:

  • Competitive Compensation Package
  • Medical + Dental + Vision Coverage
  • 401K + Company Match
  • Life Insurance + Long Term Disability Coverage – 100% Company Paid
  • Health Savings Account (HSA)
  • Gym Reimbursement Program
  • Tuition Reimbursement Program
  • Wellness Check Program - Insurance Premium Discounts
  • EAP Resources
  • Paid Holidays
  • Paid Time Off (PTO)

Wilks Brothers and affiliated companies does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. Recruitment agencies or recruitment services may contact recruiting@wilksbrothers.com for more information.

This job description should not be interpreted as an exhaustive list of responsibilities or as an employment agreement between the employer and the employee. The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification and are subject to change as the needs of the employer and requirements of the job change.  Any essential functions of this position will be evaluated as necessary should an employee/applicant be unable to perform the functions or requirements due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the employee/applicant when possible.

I acknowledge that I have read and understand the description of this position and have had the opportunity to ask my supervisor about any points I did not understand. I hereby state that I can perform the essential functions of this position with or without reasonable accommodation.

#Carboceramics #LI-MH1 #LI-onsite