Senior Data Transformation Analyst

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered.

Job Overview

We are seeking a highly analytical and detail-oriented Senior Data Transformation Analyst to support post-merger system integrations (PMSI). This role is critical in ensuring accurate and compliant data migration from acquired entities into core systems, including Salesforce and NetSuite.

This is a highly impactful role that requires a strong understanding of revenue recognition, business processes, and system behavior. You will transform complex and inconsistent source data into structured, compliant formats that support sales, billing, and accounting operations.

This role requires a balance of technical skills, business acumen, and intellectual curiosity. The ideal candidate does not rely solely on tools; they take the time to understand the underlying data, processes, and accounting implications before building solutions.

Key Responsibilities

• Lead end-to-end data transformation for full-system migrations from acquired entities
• Analyze and interpret source data from systems such as QuickBooks, NetSuite, Excel, and other CRMs
• Translate acquired entity data into formats compatible with Salesforce CPQ and ERP processes
• Evaluate and rebuild data structures to align with GAAP-compliant revenue recognition
• Identify, clean, and correct data inconsistencies and gaps
• Develop a deep understanding of revenue recognition policies, sales processes, and product structures, contracting and billing models
• Collaborate cross-functionally with acquired entity accounting and operations teams, as well as Internal sales, finance, and systems teams across organizations
• Participate in discovery sessions to ensure accurate data interpretation
• Perform data validation and reconciliation post-migration
• Identify discrepancies and drive issue resolution
• Support broader PMSI team initiatives, including testing and process improvement, as needed

Qualifications

• 3–7+ years of experience in data transformation, systems integration, or revenue operations
• Strong working knowledge of Salesforce, including exposure to CPQ or similar tools
• Advanced proficiency in Excel for data manipulation and reconciliation
• Working familiarity with NetSuite or similar ERP systems
• Solid understanding of GAAP revenue recognition principles
• Proven ability to work with complex and incomplete datasets
• Strong analytical and problem-solving skills
• Ability to learn and adapt quickly to new business models
• Excellent communication skills and ability to translate business processes into data logic

Preferred Qualifications

• Experience with Alteryx or similar data transformation tools
• Background in SaaS or subscription-based business models
• Experience with mergers and acquisitions or system migrations

What Success Looks Like

• Accurate and audit-ready data migrations
• Proactive identification and resolution of data issues
• Clear communication of risks and assumptions
• Consistent delivery within project timelines
• Strong collaboration with cross-functional teams

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.