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Weekend First Data Merchant Services Jobs in Dallas, TX

... WEEKEND First Shift 5:45 am - 8 -10 hours Friday - Monday - WEEKEND Third Shift 9:45 pm - 8 -10 ... Free teledoctor service * Free counseling services * Life insurance included * Vision insurance ...

AI-First Data Platforms Lead Executive Summary Location: Dallas TX-Onsite Own the enterprise ... Build and manage self-service database provisioning capabilities to accelerate engineering delivery ...

AI Engineer

Dallas, TX · On-site

$55 - $60/hr

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... self-service database provisioning capabilities to accelerate engineering delivery and reduce ...

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... Accelerates provisioning from days to minutes through self-service capabilities. * Enhances ...

They are seeking a Merchandising Data Analyst to transform raw retail data into actionable ... At least 1 year of experience with Power BI desktop/service and writing basic DAX. • VBA: At ...

Support Center - Irving We are looking for a Merchandising Data Analyst to transform raw retail ... At least 1 year of experience with Power BI desktop/service and writing basic DAX. * V BA: At least ...

Showing results 41-60

Weekend First Data Merchant Services information

See Dallas, TX salary details

$59.8K

$120.8K

$165.7K

How much do weekend first data merchant services jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend first data merchant services in Dallas, TX is $120,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a weekend First Data Merchant Services representative?

Weekend First Data Merchant Services jobs typically involve working for First Data, a payment processing and financial technology company, during weekends. Employees in these roles may assist merchants with payment solutions, troubleshoot transaction issues, provide customer support, and ensure secure processing of credit card payments. The work can include both technical and customer service responsibilities, depending on the specific position. Weekend shifts are often needed to ensure merchants receive support outside of standard business hours.

What are the typical responsibilities and challenges faced by someone working weekend shifts at First Data Merchant Services?

Working weekend shifts at First Data Merchant Services often involves providing customer support to merchants, resolving payment processing issues, and monitoring transaction activity for fraud. One common challenge is managing higher call volumes or urgent issues that may arise outside standard business hours, requiring quick problem-solving and clear communication. Additionally, weekend team members may collaborate remotely with colleagues or escalate complex cases to weekday teams, so strong organizational skills and adaptability are essential in this environment.

What are the key skills and qualifications needed to thrive as a weekend First Data Merchant Services representative, and why are they important?

To thrive as a Weekend First Data Merchant Services representative, you need strong customer service skills, knowledge of payment processing, and typically a high school diploma or equivalent. Familiarity with payment processing platforms, CRM systems, and basic troubleshooting tools is often required. Excellent communication, problem-solving abilities, and patience help you deliver effective support and resolve merchant issues efficiently. These skills are crucial for ensuring customer satisfaction, minimizing downtime, and maintaining the reputation of the payment services provider.

What is the difference between Weekend First Data Merchant Services vs Weekend Credit Card Processor?

AspectWeekend First Data Merchant ServicesWeekend Credit Card Processor
CredentialsTypically requires merchant account setup knowledge, basic sales certificationsRequires understanding of credit card processing, compliance, and security standards
Work EnvironmentCustomer service, sales, and technical support in retail or online settingsTechnical support, sales, and account management in financial services
Industry UsageUsed by merchants to accept card payments, often via First Data systemsUsed by businesses to process credit card transactions through various providers

Weekend First Data Merchant Services focuses on providing merchant account solutions and support for accepting card payments, often through First Data systems. Weekend Credit Card Processor refers to professionals managing credit card transaction processing for businesses. While both roles involve payment processing, the former emphasizes merchant services, and the latter centers on transaction management. Understanding these differences helps businesses choose the right service provider or career path.

What are the most commonly searched types of First Data Merchant Services jobs in Dallas, TX?

The most popular types of First Data Merchant Services jobs in Dallas, TX are:

Data Scientist-Senior Associate 210767245

JPMorgan Chase & Co.

Plano, TX • On-site

$120 - $160/hr

Other

Re-posted 22 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

The Trust & Safety (T&S) Fraud Risk Management organization protects Merchant Services (MS) from fraud and compliance-related losses by providing detection tooling and operating strategy. The Fraud Strategy team serves as the end-to-end operating partner for the MS business: managing fraud rules and loss prevention with business growth, and owning the full fraud lifecycle — onboarding strategy, monitoring, loss analysis, controls, and product launch governance — while embedding fraud considerations early in product design and execution.

As a Data Scientist Senior Associate within the Fraud Strategy team, you will play a critical role in identifying and mitigating fraud risks, leveraging your analytical expertise to promote impactful strategies and deliver end-to-end solutions.Job Responsibilities
  • Develop, maintain, and enhance analytics to provide management with comprehensive insights into fraud trends and account quality.
  • Analyze key performance metrics and profitability drivers across the full account lifecycle, delivering actionable recommendations to inform strategy and operational decisions.
  • Gain a deep understanding of operational processes (e.g., underwriting, portfolio management, collections) to identify and address fraud risk drivers.
  • Lead and execute complex projects independently, from initial analysis through implementation and performance monitoring.
  • Conduct ad hoc analytics and contribute to cross-functional initiatives, representing the Fraud Strategy team in collaborative efforts.
  • Communicate findings and recommendations clearly to stakeholders at all levels, supporting data-driven decision making.
Required Qualifications, Capabilities, and Skills
  • Bachelor’s degree in finance, economics, statistics, or a quantitative field.
  • Minimum 3 years of experience in Fraud Strategy, analytics, or a quantitative discipline.
  • Strong background in statistics, econometrics, or related quantitative methodologies.
  • Advanced proficiency in SAS, SQL, and spreadsheet tools; ability to query and manipulate large datasets to generate actionable insights.
  • Demonstrated ability to drive complex projects independently, managing multiple priorities and delivering results.
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent written and verbal communication skills; proven ability to present complex analyses and recommendations to management and stakeholders.
Preferred Qualifications, Capabilities, and Skills
  • Master’s degree in a quantitative field.
  • At least 1 year of experience in Risk Management, Fraud Strategy, or analytics within financial services.
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