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Weekend Data Jobs in Anna, TX (NOW HIRING)

You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering. * You identify where automation or AI tooling could reduce Support volume and quantify the ...

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting ...

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting ...

Data Analysis: Collect, analyze, and interpret product safety data (both qualitative and quantitative) to identify trends, risks assessments, and areas for improvement. * Process Improvement:

Data Center Technician

Dallas, TX · On-site

$30 - $36/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

Data Analyst

Dallas, TX · On-site

$50 - $60/hr

Data Analyst Pay Rate: $50-60/HR Contract Length : 3-6 month - high chance of extension Location: Dallas, on-site, 5 days a week Benefits: This position is eligible for Medical, Dental, Vision ...

Data Analyst

Plano, TX · On-site

$130K - $150K/yr

... data visualizations using tools such as Power BI, Tableau, or Excel. • Identify trends, patterns, and business opportunities through data analysis. • Collaborate with business stakeholders to ...

Extract, validate, and reconcile data from multiple systems to ensure accuracy. * Support customer and product initiatives through data analysis and insights. * Identify opportunities to automate and ...

Extract, validate, and reconcile data from multiple systems to ensure accuracy. * Support customer and product initiatives through data analysis and insights. * Identify opportunities to automate and ...

Extract, validate, and reconcile data from multiple systems to ensure accuracy. * Support customer and product initiatives through data analysis and insights. * Identify opportunities to automate and ...

Data Engineer with Data Bricks

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Data Engineer with Data Bricks Job Location: Dallas, TX Job Type: Contract * Need a consultant with 10+ years of over all experience * Need a strong Data Engg with Data Bricks exp

Extract, validate, and reconcile data from multiple systems to ensure accuracy. * Support customer and product initiatives through data analysis and insights. * Identify opportunities to automate and ...

Position: iCIMS Reporting & Analytics - Data Analyst Location: Plano, TX - Hybrid Duration: 3 Months to Start - Potentially extendable : * Our client is seeking an experienced iCIMS Reporting ...

New

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA - Additional locations Frisco/Atlanta/Overland Park* Work schedule details: onsite Key Responsibilities:

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Showing results 21-40

Weekend Data information

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

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

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

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

Data Analyst

Tapcheck

Plano, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

About the job:

You will own the analytics function for Tapcheck's Customer Support organization. Your job is to make sure Support leadership always has a clear, credible picture of how the team is performing and what the data says they should do about it. That means maintaining the standards for what gets measured, keeping the dashboards and frameworks that surface those metrics accurate, and producing the analyses that drive real decisions on strategy, investment, and priorities.

The right candidate is comfortable working with ambiguity, can scope their own problems, and knows the difference between producing a report and driving a decision.

This role offers both a remote and hybrid option. Employees located within 30 miles of Plano TX, are required to be in-office Tuesday through Thursday each week.

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID, IL, LA, MI, MA, MO, NC, NH, NJ, NV, NY, PA, OR, OH, RI, SC, TX, UT, VA, WA, WI.

What You’ll Do:  

  • Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.

  • Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.

  • Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.

  • Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.

  • Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.

  • Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.

  • Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering. 

Where your work starts and stops:

  • You own the business analytics layer: maintaining KPI standards, keeping dashboards accurate, and producing performance trend analysis. You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering.

  • You identify where automation or AI tooling could reduce Support volume and quantify the potential impact. You hand off the design, build, and deployment of those tools to the Enablement team.

  • You surface VOC and customer experience signals that live in Support's data. You hand off VOC program management and external reputation response to the Reputation Manager function.

  • You produce the analysis behind staffing and investment recommendations. You do not make headcount decisions or approve spend; those decisions belong to Support leadership.

  • You do not own QA testing, regression validation, or system performance auditing. Those responsibilities sit with Engineering and QA.

Who you'll work with:

  • Support Operations and Support leadership: your primary stakeholders for analysis requests, metric sign-off, and performance reviews.

  • Data Engineering: shared pipeline standards, Snowflake modeling, and Omni semantic layer alignment.

  • Product: translating Support trends into product signals and prioritization input.

  • Enablement: automation and AI decisions that reduce support contact volume, where your quantification informs their build decisions.

What You’ll Bring:  

Requirements 

  • 2 to 4 years in a data analyst or business intelligence role where you owned metrics end-to-end: definition, calculation, documentation, and storytelling.

  • SQL proficiency including CTEs, window functions, and query optimization; you can get to an answer without waiting on someone else to pull data for you.

  • Hands-on experience building and managing dashboards in a modern BI tool (Looker, Tableau, Power BI, or similar).

  • Demonstrated ability to communicate complex findings to non-technical audiences; leadership should leave your presentations knowing what to do, not just what happened.

  • Comfortable scoping your own work: you can take an ambiguous business question, decide on methodology, and drive a recommendation without close direction.

Preferred

  • Experience in fintech, SaaS, or customer support operations environments.

  • Familiarity with Snowflake or similar cloud data warehouses.

  • Exposure to support platforms such as Zendesk and their underlying data structures.

  • Experience with dbt or similar data transformation frameworks.

Who this role is not for:

  • Someone who needs a fully built metric framework before they can start measuring anything.

  • Someone who wants to own automation, AI, or chatbot development; that work sits with a different team and will not move here.

  • Someone who treats every data request as equally urgent and needs a manager to triage their queue.

  • Someone whose default response to a business question is building a new dashboard rather than answering the question.

At this time, Tapcheck does not provide sponsorship for employment-based visas (e.g., H-b, L-1, TN, etc.). Therefore, candidates must already possess the right to work in the United States without the need for employment-based visa sponsorship now or in the future. 

About Tapcheck

Tapcheck is a digital platform offering an easy and convenient way to access on-demand earnings early. Available at no cost to employers, our app-based on-demand pay solution helps relieve the financial stress that many employees experience on a daily basis.


The Tapcheck team is passionate about our mission to improve financial wellness and boost business productivity. By giving workers the ability to transfer wages they've earned directly to their bank account or pay card without waiting for payday, Tapcheck eliminates the need for high-interest payday loans or employer-funded cash advances.

 

How We Get Things Done

Our core values act as a steadfast guide, directing our decisions and anchoring our actions. We consider these values non-negotiable, especially when it comes to our hiring process.

  • Humility: We believe in the power of humility. We value team players who are down-to-earth, respectful, and open to learning from others. Our employees approach challenges with a positive attitude, acknowledging their strengths and weaknesses while celebrating the achievements of their colleagues.

  • Grit: We admire individuals with grit – those who demonstrate unwavering determination and resilience in the face of obstacles. At Tapcheck, we take pride in overcoming challenges together, pushing the boundaries of what is possible, and embracing failure as an opportunity for growth.

  • Raising the Bar: Continuous improvement is at the heart of our culture. We are committed to setting high standards and pushing ourselves to exceed them. We seek employees who are innovative and strive for excellence, constantly seeking ways to enhance our products, services, and processes.

  • Striving for Growth: We foster an environment that encourages personal and professional development. Our employees are driven to learn, grow, and adapt to new circumstances. We support individuals who take initiative, seek out new challenges, and actively contribute to their own growth and the growth of the company.

Why Join Tapcheck?

  • Mission that matters. We're changing how Americans access their pay — giving workers financial flexibility without the debt trap of payday loans.

  • Flexible PTO. No accrual caps, no counting days. Take the time you need.

  • 10 paid holidays. Including both Christmas Eve and New Year's Eve.

  • Comprehensive health coverage. Medical through Blue Cross Blue Shield of Texas (PPO and HDHP options, HSA-eligible with employer contribution), plus dental and vision through MetLife.

  • FSA, Basic Life/AD&D, and an Employee Assistance Program (EAP).

  • 401(k) with a 100% match up to 3% of your salary. Through Mutual of America. Eligible after 90 days.

  • A team that lives its values. Humility, grit, and a genuine drive to raise the bar — every day.

Compensation

Compensation at Tapcheck is competitive and benchmarked to your role and the market. We're committed to a total rewards package that reflects your impact. Full details are shared as part of our hiring process.


Equal Employment Opportunity Policy

Tapcheck, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.