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Remote First Data Merchant Services Jobs in Colorado

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Remote First Data Merchant Services information

What is a Remote First Data Merchant Services representative?

Remote First Data Merchant Services are payment processing solutions provided by First Data (now part of Fiserv) that allow businesses to accept and manage electronic payments from anywhere, without needing to be physically present at a brick-and-mortar location. These services support online transactions, mobile payments, and remote invoicing, making it easier for businesses to manage sales in a digital environment. With secure payment gateways and virtual terminals, businesses can process credit card payments, handle recurring billing, and access transaction data remotely.

What are the key skills and qualifications needed to thrive as a Remote First Data Merchant Services representative?

To thrive as a Remote First Data Merchant Services Representative, you need strong knowledge of payment processing, customer service principles, and a background in finance or business, often supported by experience in merchant services. Familiarity with CRM software, payment gateways, and First Data systems is typically required, along with relevant certifications in payment processing or financial services. Excellent communication, problem-solving, and self-motivation are essential soft skills for managing client relationships and resolving issues remotely. These skills ensure efficient support, customer satisfaction, and the effective handling of merchant accounts in a competitive payments industry.

What are the main challenges of working remotely as a Remote First Data Merchant Services representative, and how can I overcome them?

One common challenge in a remote First Data Merchant Services role is maintaining effective communication with both clients and your team, as you won’t have in-person interactions. Establishing a structured routine, using collaboration tools (like Slack or Microsoft Teams), and proactively reaching out to colleagues can help bridge this gap. Additionally, staying organized and self-motivated is crucial, as you’ll often manage client accounts, resolve payment issues, and support merchants independently. Regular training and feedback sessions offered by the company can also help you stay aligned with team goals and industry updates.

What is the difference between Remote First Data Merchant Services vs Remote Data Entry Specialist?

AspectRemote First Data Merchant ServicesRemote Data Entry Specialist
Required CredentialsBasic computer skills, familiarity with payment processing systemsTyping speed, attention to detail, basic computer skills
Work EnvironmentRemote, often within financial or payment processing companiesRemote, various industries including healthcare, finance, retail
Employer & Industry UsageFinancial services, payment processing companiesMultiple industries, administrative roles
Common Search & Comparison IntentUnderstanding roles in payment processing companiesData entry jobs, remote administrative roles

Remote First Data Merchant Services involves handling payment processing and merchant account management remotely within financial sectors. In contrast, Remote Data Entry Specialists focus on inputting data across various industries. Both roles are remote, but they differ in industry focus and specific skill requirements.

What are popular job titles related to Remote First Data Merchant Services jobs in Colorado?

For Remote First Data Merchant Services jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Remote First Data Merchant Services jobs?

Cities in Colorado with the most Remote First Data Merchant Services job openings:

Infographic showing various Remote First Data Merchant Services job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, 10% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Sr. Manager, BI & Analytics

FIRST ONSITE

Greenwood Village, CO • Remote

Full-time

Re-posted 7 days ago


Job description

A Day in the Life of a Sr. Manager, BI & Analytics

As the Sr. Manager, BI & Analytics, you will play a pivotal role in transforming data into actionable insights that drive business performance across the organization. In this highly visible leadership position, you will lead a team responsible for business intelligence, data engineering, and data architecture while partnering closely with operations, finance, sales, and executive leadership. You'll own the BI delivery roadmap from intake and requirements gathering through development, deployment, and adoption, ensuring stakeholders receive dashboards, reporting, and analytical capabilities they need to make informed decisions. This is a unique opportunity for a strategic leader who enjoys balancing people leadership, stakeholder engagement, and technical oversight in a remote-first environment with limited travel.

Your morning may begin by meeting with branch operations leaders to understand reporting needs, followed by a working session with finance executives to refine key performance metrics. Throughout the day, you'll guide your team on Power BI dashboard development, review data architecture standards within Databricks' Medallion architecture, and help prioritize initiatives on the BI roadmap. As a player-coach, you'll remove roadblocks, mentor team members, and ensure projects are delivered on schedule while maintaining high standards for quality and scalability. You'll also explore emerging AI-enable analytics capabilities, identifying opportunities to enhance decision-making and create greater business value. Success in this role comes from your ability to build strong stakeholder relationships, translate complex business challenges into data-drive solutions, and lead a high-performing team that delivers meaningful results.

Responsibilities:

  • Own and execute the BI and analytics roadmap, delivering dashboards, reporting, and data products that drive operational and executive decision-making.
  • Partner with business leaders to translate complex challenges into actionable analytics, scalable data solutions, and measurable outcomes.
  • Lead, coach, and develop a high-performing team of BI, data engineering, and data architecture professionals in a player-coach environment.
  • Establish and enforce standards for data visualization, semantic modeling, reporting, governance, and platform performance.
  • Prioritize competing business needs, manage stakeholder expectations, and ensure on-time delivery of high-value analytics initiatives.
  • Drive enterprise adoption of BI capabilities through training, self-service enablement, documentation, and change management.
  • Champion a single source of truth through certified datasets, consistent metrics, data quality standards, and reporting SLAs.
  • Partner with Data & AI leaders to advance modern data platform capabilities, including Databricks, Lakehouse architecture, and enterprise reporting solutions.
  • Leverage AI-enabled analytics, natural language querying, and emerging technologies to accelerate insights and enhance decision-making.
  • Evaluate and recommend innovative data, AI, and reporting technologies that support long-term business strategy and growth.
  • Ensure strong governance, security, and responsible use of data products that support both analytics and enterprise AI initiatives.
  • Lead workforce planning, hiring, performance management, succession planning, and employee development for a team of senior practitioners.
  • Manage BI platform investments, reporting service levels, and incident response processes that support critical business operations.
  • Deliver innovative, cross-functional data and analytics initiatives across the U.S. and Canada in a remote-first environment.

Experience & Education:

  • 7+ years of experience in Business Intelligence, Analytics, Data Engineering, or Data Platform roles.
  • 2+ years of experience leading, mentoring, or developing technical teams.
  • Strong hands-on experience with Databricks or similar Lakehouse platforms, advanced SQL, dimensional data modeling, and modern data architecture practices.
  • Proven success partnering with stakeholders to gather requirements, manage roadmaps, and deliver analytics solutions for senior leadership.
  • Bachelor's degree in computer science, Engineering, quantitative discipline, or equivalent combination of education and experience.

Preferred Experience:

  • Experience supporting AI-enabled analytics, LLM-based applications, MLflow, or data products consumed by AI assistants and agents.
  • Familiarity with Microsoft Fabric, Data Vault modeling, dbt, and modern data orchestration technologies.
  • Experience working in multi-site, operationally complex industries such as restoration, construction, field services, manufacturing, distribution, or related sectors.
  • Knowledge of enterprise systems integration, including Salesforce, NetSuite, or comparable business platforms.
  • Consulting or client-facing delivery experience with a strong focus on stakeholder engagement and solution adoption.
  • Passion for leveraging emerging technologies to improve business outcomes and drive data-informed decision-making.