Remote | CRM Operations & Data Quality Specialist — $70–$110/hour

24-Mag•New York, NY

3d•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for experienced CRM operations and data quality professionals with strong expertise in data governance, customer data management, operational workflows, and business systems. This role focuses on reviewing professional documents, spreadsheets, and presentation materials involving CRM operations, data quality, and related business processes. Selected experts will assess outputs for accuracy, completeness, operational logic, presentation quality, and overall professional credibility.

Requirements

5+ years of relevant professional experience in CRM operations, data quality, data governance, data stewardship, revenue operations, or a closely related function
Strong practical understanding of CRM workflows and customer-data management
Experience identifying and resolving data-quality issues across operational systems
Familiarity with CRM platforms such as Salesforce, HubSpot, Microsoft Dynamics , or comparable systems is highly valued
Strong spreadsheet and analytical skills
Highly proficient with Microsoft Office and Google Workspace
Advanced proficiency with PowerPoint / Google Slides
Native or professional fluency in English
Excellent written communication and ability to provide precise, structured feedback
Strong attention to detail across operational, analytical, and visual work products

Nice To Haves

Master's degree or higher from a recognised institution is advantageous

Responsibilities

Evaluate work products involving CRM processes, customer data, and operational workflows
Assess whether CRM-related recommendations reflect realistic business practices
Review data-entry, maintenance, enrichment, and lifecycle processes
Identify workflow gaps, inconsistent records, and unsupported assumptions
Apply professional judgement to common CRM operations scenarios
Review data-quality processes involving completeness, consistency, accuracy, and duplication
Evaluate approaches to data cleansing, validation, standardisation, and enrichment
Identify missing controls, weak validation logic, and unreliable data assumptions
Assess whether proposed data-governance practices are practical and appropriately structured
Review processes for maintaining trustworthy customer and operational data
Evaluate customer, account, contact, opportunity, and related CRM records
Review field usage, taxonomy, hierarchy, and record-management practices
Assess data integrity across business processes and reporting workflows
Identify duplicate, incomplete, outdated, or inconsistent records
Evaluate whether CRM structures support reliable downstream analysis and operations
Review spreadsheets and reports used for CRM operations and data-quality monitoring
Assess metrics, calculations, assumptions, and reporting logic
Identify inconsistencies between underlying data and reported conclusions
Evaluate whether dashboards and operational reports communicate findings clearly
Flag analytical gaps that could affect business decisions
Evaluate professional documents and slide decks for accuracy, structure, and clarity
Review presentations for logical flow, visual consistency, and effective communication
Identify factual, formatting, and presentation issues
Assess whether charts, tables, and supporting visuals accurately reflect underlying data
Ensure recommendations are clearly connected to the available evidence
Assess assigned outputs against domain-specific quality criteria
Identify factual, analytical, operational, and presentation errors
Distinguish material data-quality issues from minor formatting concerns
Provide clear, structured written feedback explaining identified strengths and weaknesses
Apply evaluation standards consistently across documents, spreadsheets, and presentations