CXG Data Specialist

Remofirst, Inc.; United States; Vor Ort; USD 65.000 - 90.000; Vollzeit

Zusammenfassung

Remofirst, Inc. is seeking a CXG Data Specialist to support and optimise data quality across our CXG tech stack.

This hands-on role sits at the intersection of Customer Success, Revenue Operations and Sales, delivering accurate data and reliable insights in a fast-paced, remote-first environment. As an individual contributor, you will execute data-cleaning tasks, validate data across sources, and help improve reporting and dashboards, ensuring critical CXG data points stay aligned with business

Qualifikationen

• 1–5 years of experience in Data Management, Revenue Operations, Sales Operations, CRM Administration, Customer Success, or a related operational role.
• Experience administering CRM or CXG platforms.
• Experience working with sales technology tools and revenue systems.
• Excellent organizational skills with exceptional attention to detail.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication skills and the ability to collaborate across distributed teams.

Aufgaben

• Own proactive data quality monitoring and clean-up across CXG systems.
• Validate and reconcile customer and account data across different sources.
• Perform data manipulation and analysis, including VLOOKUPs, reconciliation, duplicate account identification, research, and clean-up.
• Maintain accurate customer journey stages, account statuses, CSM ownership, and other critical CXG data points.
• Run recurring data-quality checks and proactively identify inconsistencies across systems
• Help update reporting and dashboards
• Monitor cancelled employee hiring processes and notify Finance when associated deposit invoices need to be cancelled.
• Partner with RevOps and CXG teams to identify recurring data-quality issues and improve the underlying processes.

Kenntnisse

Data management

Revenue operations

CRM administration

Customer success

Attention to detail

Multitasking

Communication

Tools

HubSpot

DevRev

BI tools

Jobbeschreibung

We are seeking a CXG Data Specialist to support and optimise our data quality across the full CXG tech stack. Reporting at the intersection of Customer Success, Revenue Operations and Sales, you will play a key role in maintaining the data accuracy of our CXG systems.

This is a hands‑on individual contributor role focused on execution, continuous improvement, and providing exceptional operational support to our CXG team in a fast‑paced, remote‑first environment.

Key Responsibilities

• Own proactive data quality monitoring and clean‑up across CXG systems.
• Validate and reconcile customer and account data across different sources.
• Perform data manipulation and analysis, including VLOOKUPs, reconciliation, duplicate account identification, research, and clean‑up.
• Maintain accurate customer journey stages, account statuses, CSM ownership, and other critical CXG data points.
• Run recurring data‑quality checks and proactively identify inconsistencies across systems
• Help update reporting and dashboards
• Monitor cancelled employee hiring processes and notify Finance when associated deposit invoices need to be cancelled.
• Partner with RevOps and CXG teams to identify recurring data‑quality issues and improve the underlying processes.

• 1–5 years of experience in Data Management, Revenue Operations, Sales Operations, CRM Administration, Customer Success, or a related operational role.
• Experience administering CRM or CXG platforms.
• Experience working with sales technology tools and revenue systems.
• Excellent organizational skills with exceptional attention to detail.
• Ability to manage multiple priorities in a fast‑paced environment.
• Strong communication skills and the ability to collaborate across distributed teams.

Preferred Qualifications

• Experience within a SaaS business.
• Experience supporting EOR, PEO, HR Tech, or contractor management platforms.
• Experience with HubSpot, DevRev and BI tools.
• Experience with data management, data clean‑up and deduplication.