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.
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.