Sr Master Data Management Analyst
Varsity Brands, Farmers Branch, TX, United States
JOIN THE BEST TEAM IN SPORT & SPIRIT
At Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.
Location:
Onsite 4 days per week - Varsity Brands HQ Farmers Branch, TX
The
Sr. Master Data Management Analyst
serves as the connective tissue between business stakeholders and technical teams with a strong hands-on focus on Master Data Management (MDM). This individual is not just a coordinator or advisor, but a deeply technical, data-oriented practitioner who understands how master data is structured, governed, connected, and operationalized across the enterprise.
The role is vertically specialized in MDM, with a strong grasp of taxonomy design, entity modeling, master-reference data relationships, data connectivity across systems, data cleansing, survivorship rules, and exception handling. The incumbent will actively analyze, shape, and improve master data domains to ensure high data quality, trusted reporting, and scalable operational processes.
In addition to leading cross-functional requirements and process improvement initiatives, this role will champion MDM and Data Governance practices by defining standards, resolving data quality issues at the source, and ensuring master data integrity throughout its full lifecycle. This role plays a critical part in enabling trusted, scalable data foundations that support enterprise analytics, reporting, and emerging AI-enabled business capabilities.
Job Responsibilities
Hands-On Master Data Management (MDM)
Act as a hands-on MDM subject matter expert, deeply involved in the structure, behavior, and lifecycle of master data
Design and maintain taxonomies, hierarchies, attributes, and entity relationships across master data domains (e.g., Customer, Product, Vendor)
Understand and document how master data entities relate to each other across systems (MDM, ERP, CRM, data warehouse, downstream consumers)
Partner closely with IT and data engineering teams to implement and enhance MDM capabilities, including golden record creation, match/merge logic, survivorship rules, and source system connectivity
Proactively identify, analyze, and remediate data quality issues such as duplicates, missing attributes, invalid values, misaligned hierarchies, and broken relationships
Define and execute data cleansing and exception-handling processes, including root-cause analysis and prevention strategies
Process Documentation & Improvement
Map current-state ("as-is") business and data processes, explicitly incorporating master data creation, maintenance, enrichment, and governance touchpoints
Design future-state ("to-be") processes that improve data quality, usability, and operational efficiency
Embed data governance and MDM lifecycle controls into process designs to ensure sustainability
Requirements Elicitation & Communication
Lead discovery workshops and working sessions focused on MDM use cases, data flows, and system integrations
Translate business needs into detailed functional and data requirements, including entity models, attribute definitions, validation rules, and exception scenarios
Serve as a translator between business stakeholders and technical teams with a strong command of both business context and MDM technical concepts
Data Analysis & Insight Generation
Analyze master and transactional data to uncover quality issues, usage patterns, and improvement opportunities
Support operational and governance decisions through targeted analysis, dashboards, and reporting
Quantify the business impact of MDM and data quality improvements, including downstream effects on analytics, reporting, and decision-making
Data Governance
Define and maintain data standards, including naming conventions, definitions, and master/reference data boundaries to support a consistent, enterprise-wide source of truth
Maintain a business glossary and data definitions with particular emphasis on master data attributes and relationships
Support stewardship workflows, ownership models, and change control processes for master data
Ensure master data is structured and governed to support downstream analytics, reporting, advanced analytics and AI use cases
Knowledge, Skills, Abilities
The ideal candidate will demonstrate the following:
Translates complexity into clarity : synthesizes ambiguous business and data requirements into structured, actionable definitions and models
Influences without authority : drives alignment across business, IT, and data stakeholders to adopt standards, resolve conflicts, and improve data quality
Exercises strong analytical judgment : identifies root causes of data issues and prioritizes solutions based on business impact and scalability
Communicates with precision across audiences : adapts messaging for both technical teams and business stakeholders to ensure shared understanding and execution
Demonstrates ownership and follow-through : independently drives data quality issues and governance initiatives from identification through resolution
Operates with rigor and discipline : applies structured thinking, documentation standards, and governance practices to ensure consistency and sustainability
Understands downstream data consumption : recognizes how master data structures impact analytics, reporting, and emerging AI/ML use cases
Education, Certification and Experience
Required
5-7 years of experience in Business Analysis, Business Systems Analysis, or Data-focused roles with significant hands-on involvement in Master Data Management
Deep, practical expertise in MDM concepts, including:
Taxonomy and hierarchy design
Entity and relationship modeling
Master and reference data connectivity across systems
Data cleansing, match/merge, survivorship, and exception handling
Demonstrated experience working directly with MDM platforms (e.g., Informatica MDM/Cloud, SAP MDG, Precisely, Reltio, or similar)
Strong understanding of core master data domains such as Customer, Product, Vendor, Location, or Asset
Hands-on data analysis skills (Excel, SQL basics, Power BI/Tableau) with the ability to diagnose and resolve data quality issues
Strong facilitation and communication skills with the ability to bridge business and technical audiences
Preferred
Experience defining and operationalizing data stewardship roles, data quality rules, and remediation workflows
Exposure to data governance and metadata tools (e.g., Collibra, Alation, Atlan)
Exposure to modern data platforms (e.g., Snowflake) and understanding of how curated data supports analytics and AI workflows
Familiarity with data governance frameworks (e.g., DAMA-DMBOK, DCAM)
Experience working within Agile/SDLC environments using tools such as Jira or Azure DevOps
Physical Demands and/or Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#LIBD1
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.
OUR VALUES
Service -
We lead with heart. We champion community.
Passion -
We love what we do. It fuels our purpose.
Integrity -
We do what we promise. We own our actions and decisions.
Respect -
We earn it by giving it. Because everyone deserves it.
Innovation -
We never stop striving to be better. For ourselves and our community.
Transparency -
We are committed to openness and honesty in everything we do.
OUR BENEFITS
We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:
Comprehensive Health Care Benefits
HSA Employer Contribution/ FSA Opportunities
Wellbeing Program
401(k) plan with company matching
Company paid Life, AD&D, and Short-Term Disability
Generous My Time Off & Paid Holidays
Varsity Brands Ownership Program
Employee Resource Groups
St. Jude Partnership & Volunteer Opportunities
Employee Perks including discounts on personal apparel and equipment!
Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.
At Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.
Location:
Onsite 4 days per week - Varsity Brands HQ Farmers Branch, TX
The
Sr. Master Data Management Analyst
serves as the connective tissue between business stakeholders and technical teams with a strong hands-on focus on Master Data Management (MDM). This individual is not just a coordinator or advisor, but a deeply technical, data-oriented practitioner who understands how master data is structured, governed, connected, and operationalized across the enterprise.
The role is vertically specialized in MDM, with a strong grasp of taxonomy design, entity modeling, master-reference data relationships, data connectivity across systems, data cleansing, survivorship rules, and exception handling. The incumbent will actively analyze, shape, and improve master data domains to ensure high data quality, trusted reporting, and scalable operational processes.
In addition to leading cross-functional requirements and process improvement initiatives, this role will champion MDM and Data Governance practices by defining standards, resolving data quality issues at the source, and ensuring master data integrity throughout its full lifecycle. This role plays a critical part in enabling trusted, scalable data foundations that support enterprise analytics, reporting, and emerging AI-enabled business capabilities.
Job Responsibilities
Hands-On Master Data Management (MDM)
Act as a hands-on MDM subject matter expert, deeply involved in the structure, behavior, and lifecycle of master data
Design and maintain taxonomies, hierarchies, attributes, and entity relationships across master data domains (e.g., Customer, Product, Vendor)
Understand and document how master data entities relate to each other across systems (MDM, ERP, CRM, data warehouse, downstream consumers)
Partner closely with IT and data engineering teams to implement and enhance MDM capabilities, including golden record creation, match/merge logic, survivorship rules, and source system connectivity
Proactively identify, analyze, and remediate data quality issues such as duplicates, missing attributes, invalid values, misaligned hierarchies, and broken relationships
Define and execute data cleansing and exception-handling processes, including root-cause analysis and prevention strategies
Process Documentation & Improvement
Map current-state ("as-is") business and data processes, explicitly incorporating master data creation, maintenance, enrichment, and governance touchpoints
Design future-state ("to-be") processes that improve data quality, usability, and operational efficiency
Embed data governance and MDM lifecycle controls into process designs to ensure sustainability
Requirements Elicitation & Communication
Lead discovery workshops and working sessions focused on MDM use cases, data flows, and system integrations
Translate business needs into detailed functional and data requirements, including entity models, attribute definitions, validation rules, and exception scenarios
Serve as a translator between business stakeholders and technical teams with a strong command of both business context and MDM technical concepts
Data Analysis & Insight Generation
Analyze master and transactional data to uncover quality issues, usage patterns, and improvement opportunities
Support operational and governance decisions through targeted analysis, dashboards, and reporting
Quantify the business impact of MDM and data quality improvements, including downstream effects on analytics, reporting, and decision-making
Data Governance
Define and maintain data standards, including naming conventions, definitions, and master/reference data boundaries to support a consistent, enterprise-wide source of truth
Maintain a business glossary and data definitions with particular emphasis on master data attributes and relationships
Support stewardship workflows, ownership models, and change control processes for master data
Ensure master data is structured and governed to support downstream analytics, reporting, advanced analytics and AI use cases
Knowledge, Skills, Abilities
The ideal candidate will demonstrate the following:
Translates complexity into clarity : synthesizes ambiguous business and data requirements into structured, actionable definitions and models
Influences without authority : drives alignment across business, IT, and data stakeholders to adopt standards, resolve conflicts, and improve data quality
Exercises strong analytical judgment : identifies root causes of data issues and prioritizes solutions based on business impact and scalability
Communicates with precision across audiences : adapts messaging for both technical teams and business stakeholders to ensure shared understanding and execution
Demonstrates ownership and follow-through : independently drives data quality issues and governance initiatives from identification through resolution
Operates with rigor and discipline : applies structured thinking, documentation standards, and governance practices to ensure consistency and sustainability
Understands downstream data consumption : recognizes how master data structures impact analytics, reporting, and emerging AI/ML use cases
Education, Certification and Experience
Required
5-7 years of experience in Business Analysis, Business Systems Analysis, or Data-focused roles with significant hands-on involvement in Master Data Management
Deep, practical expertise in MDM concepts, including:
Taxonomy and hierarchy design
Entity and relationship modeling
Master and reference data connectivity across systems
Data cleansing, match/merge, survivorship, and exception handling
Demonstrated experience working directly with MDM platforms (e.g., Informatica MDM/Cloud, SAP MDG, Precisely, Reltio, or similar)
Strong understanding of core master data domains such as Customer, Product, Vendor, Location, or Asset
Hands-on data analysis skills (Excel, SQL basics, Power BI/Tableau) with the ability to diagnose and resolve data quality issues
Strong facilitation and communication skills with the ability to bridge business and technical audiences
Preferred
Experience defining and operationalizing data stewardship roles, data quality rules, and remediation workflows
Exposure to data governance and metadata tools (e.g., Collibra, Alation, Atlan)
Exposure to modern data platforms (e.g., Snowflake) and understanding of how curated data supports analytics and AI workflows
Familiarity with data governance frameworks (e.g., DAMA-DMBOK, DCAM)
Experience working within Agile/SDLC environments using tools such as Jira or Azure DevOps
Physical Demands and/or Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#LIBD1
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.
OUR VALUES
Service -
We lead with heart. We champion community.
Passion -
We love what we do. It fuels our purpose.
Integrity -
We do what we promise. We own our actions and decisions.
Respect -
We earn it by giving it. Because everyone deserves it.
Innovation -
We never stop striving to be better. For ourselves and our community.
Transparency -
We are committed to openness and honesty in everything we do.
OUR BENEFITS
We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:
Comprehensive Health Care Benefits
HSA Employer Contribution/ FSA Opportunities
Wellbeing Program
401(k) plan with company matching
Company paid Life, AD&D, and Short-Term Disability
Generous My Time Off & Paid Holidays
Varsity Brands Ownership Program
Employee Resource Groups
St. Jude Partnership & Volunteer Opportunities
Employee Perks including discounts on personal apparel and equipment!
Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.