Revenue Operations Data Specialist

Mexico City
Mexico – Sales /
Full Time /
On-site
We’re seeking an early-career Revenue Operations Data Quality Specialist who is passionate about maintaining pristine data hygiene across platforms like Salesforce and Domo. This individual will play a vital role in monitoring, cleaning, and improving data integrity to ensure reliable reporting and business insights.

How you'll add value:

    • Routinely monitor and audit data in Salesforce, Domo, and other BI/reporting systems to identify duplicates, inconsistencies, and inaccuracies. 
    • Cleanse and correct data issues through validation, de-duplication, and format standardization. 
    • Collaborate cross-functionally, communicating with stakeholders in Sales, Finance, and IT to resolve data hygiene issues and improve processes. 
    • Assist in defining and documenting data quality standards, validation rules, and hygiene workflows. 
    • Prepare and review data for reporting—ensuring accuracy and consistency before dashboards or insights go live. 
    • Contribute to automation efforts by identifying manual cleanup opportunities and helping implement scalable solutions. 

What you'll need to be successful in this role:

    • 3+ years of experience working in a data-oriented role. 
    • Bachelor’s degree or equivalent in a quantitative, technical, or business-related field (e.g., Business, Analytics, IT). 
    • Strong attention to detail, a methodical mindset, and a commitment to data integrity. 
    • Strong proficiency in Salesforce, including a basic understanding of core concepts, how to filter and navigate records, and how to build and modify basic reports. 
    • Strong proficiency in Microsoft Excel (including filtering, lookups, pivot tables, and basic formulas). 
    • Basic proficiency in SQL or similar tools—capable of writing simple queries for data profiling and issue detection. 
    • Positive attitude toward automation and process improvement; able to identify inefficiencies and suggest improvements. 
    • Excellent communication and collaboration skills, especially in articulating data issues and coordinating resolutions. 
    • Fluent, near-native, or native English proficiency—both written and spoken—is required for success in this role.