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Data Quality Analyst - Job Opportunity at stichd

Den Bosch, Netherlands
Full-time
Mid-level
Posted: May 23, 2025
Hybrid
EUR 55,000-75,000 annually based on Netherlands market rates for mid-level data quality roles, with potential for higher compensation given the specialized nature of licensing industry data management and stichd's position as PUMA Group member

Benefits

Flexible contract structure with 1-year initial term and permanent conversion pathway, providing career security in competitive data market
Innovative work-life balance system allowing choice between extended vacation (40 days) or higher compensation with standard leave, demonstrating progressive workforce management
Comprehensive professional development ecosystem including global new hire integration programs and extensive e-learning platforms, crucial for staying current in rapidly evolving data quality field
Substantial transportation benefits package including lease-bike, public transport card, or mileage reimbursement, addressing Netherlands' high commuting costs
Premium hybrid work arrangement with 60% remote flexibility and dedicated home office allowance, reflecting modern data professional expectations
Competitive total compensation package including 8% holiday allowance, performance bonuses, and robust pension scheme, ensuring long-term financial security
International multicultural environment with 50+ nationalities, providing global perspective essential for data governance in multinational licensing business
Comprehensive wellness program including fitness activities and wellbeing initiatives, addressing high-stress nature of data quality roles
Employee discounts on premium lifestyle brands including PUMA, Levi's, and BMW, leveraging company's unique position in licensing industry
Regular social events and legendary company celebrations fostering team cohesion in technical roles that can be isolating

Key Responsibilities

Architect and evolve enterprise-wide Data Quality framework that directly impacts business performance across global licensing operations, establishing stichd as industry leader in data maturity
Drive strategic data quality requirements gathering with C-level stakeholders, translating complex business needs into actionable technical specifications that protect brand partnerships worth millions
Design and deploy executive-level Data Quality dashboards that provide real-time visibility into data health across international operations, enabling proactive decision-making
Serve as trusted advisor to data owners across multiple business units, building organizational capability in data stewardship that reduces operational risk
Lead complex data quality issue resolution that could impact relationships with A-list global brands including PUMA, Tommy Hilfiger, and Formula 1 partners
Integrate data quality standards into project delivery methodology, ensuring new initiatives launch with enterprise-grade data foundation from day one
Champion data-driven culture transformation by inspiring stakeholders to embrace data quality as competitive advantage in fast-paced fashion and lifestyle licensing industry

Requirements

Education

Relevant bachelor/masters degree

Experience

Min 4+ years of relevant experience

Required Skills

Fluent in English (verbal and written) Proactive, data-driven and analytical Hands-on mentality Good communicator and have the ability to inspire others Proficient in SQL Proficient in Power BI
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Sauge AI Market Intelligence

Industry Trends

Data governance and quality management has become mission-critical for licensing and retail companies as they manage complex multi-brand portfolios and international supply chains, with poor data quality costing organizations an average of $12.9 million annually according to Gartner research. Companies like stichd, managing licensing relationships with premium brands like PUMA, Calvin Klein, and Formula 1, face exponentially higher risks from data quality issues that could damage valuable brand partnerships worth hundreds of millions in revenue. The convergence of AI and machine learning in retail operations is driving unprecedented demand for high-quality, well-governed data sets, as predictive analytics and automated decision-making systems require clean, consistent data to function effectively. Organizations are investing heavily in data quality frameworks that can support both current operational needs and future AI initiatives, creating a seller's market for experienced data quality professionals. European data regulations including GDPR have elevated data quality from operational concern to legal compliance requirement, with organizations facing significant penalties for poor data management practices. This regulatory pressure, combined with increasing consumer expectations for personalized experiences, has made data quality roles strategic rather than purely technical positions, requiring professionals who can bridge business and technical domains.

Role Significance

Likely working within a data team of 8-15 professionals including data engineers, analysts, and governance specialists, with this role serving as the primary data quality subject matter expert. The position involves collaboration with data stewards across business units and coordination with IT teams supporting data infrastructure.
Mid-to-senior level individual contributor role with significant organizational influence, reporting likely to data management or IT leadership with dotted-line relationships to business unit heads. The position carries substantial responsibility for enterprise-wide data quality standards and has direct impact on business operations across multiple international markets and brand partnerships.

Key Projects

Implementation of automated data quality monitoring systems across global e-commerce platforms serving multiple brand portfolios Development of data quality scorecards for executive reporting that demonstrate ROI of data initiatives to brand partners Design of data governance frameworks that ensure compliance with international regulations while supporting rapid business expansion Creation of data quality standards for new brand onboarding processes that accelerate partnership launches while maintaining data integrity

Success Factors

Exceptional stakeholder management skills to navigate complex organizational dynamics across international business units while building consensus around data quality standards that may initially slow business processes but deliver long-term value. Success requires ability to communicate technical concepts to business leaders and translate business requirements into technical specifications. Deep technical proficiency in data analysis tools combined with business acumen to identify data quality issues that have material impact on business performance, prioritizing remediation efforts based on business criticality rather than technical complexity. The role demands continuous learning to stay current with evolving data technologies and industry best practices. Change management capabilities to drive organizational culture shift toward data-driven decision making, overcoming resistance to new processes and demonstrating clear business value from data quality initiatives. Success requires patience and persistence as data quality improvements often have delayed but significant impact on business outcomes.

Market Demand

High demand driven by digital transformation initiatives across retail and licensing sectors, with particular strength in Netherlands due to concentration of international retail headquarters and favorable business climate

Important Skills

Critical Skills

SQL proficiency is fundamental for data quality analysis and validation, requiring ability to write complex queries across multiple data sources and identify inconsistencies that could impact business operations. Advanced SQL skills enable independent problem-solving and reduce dependence on technical teams for routine data investigation tasks. Power BI expertise is essential for creating executive-level dashboards that communicate data quality metrics to business stakeholders, requiring understanding of data visualization best practices and ability to translate technical metrics into business-relevant insights. Strong Power BI skills enable real-time monitoring and proactive issue identification. Communication and influence skills are critical for driving organizational change around data quality standards, requiring ability to build relationships with skeptical stakeholders and demonstrate business value of data initiatives. Success depends on ability to inspire others to embrace data quality as competitive advantage rather than operational burden.

Beneficial Skills

Python or R programming skills for advanced data analysis and automated quality checking, enabling more sophisticated analysis and reducing manual effort in quality assessment processes Data modeling and database design knowledge to understand root causes of data quality issues and recommend structural improvements to data architecture Project management certification or experience to effectively coordinate cross-functional data quality initiatives and ensure timely delivery of improvements that support business objectives Knowledge of data governance frameworks such as DAMA-DMBOK or DCAM to apply industry best practices and accelerate framework development

Unique Aspects

Rare opportunity to work with data from multiple premium lifestyle and motorsport brands, providing exposure to diverse business models and customer segments that accelerates professional development and industry knowledge
Position within PUMA Group ecosystem offers potential for career mobility across global sports and lifestyle brands while maintaining focus on cutting-edge data practices
Role combines technical data management with high-stakes brand relationship management, as data quality issues could directly impact partnerships with Formula 1, Ferrari, and other premium brands
Opportunity to build data quality framework from ground up in rapidly growing licensing business, allowing for significant individual impact and professional recognition

Career Growth

2-4 years to senior individual contributor roles, 4-6 years to management positions based on demonstrated impact on business outcomes and development of strategic thinking capabilities

Potential Next Roles

Data Governance Manager overseeing enterprise-wide data strategy and policy development Senior Data Analyst or Data Science roles leveraging deep understanding of data quality principles Business Intelligence Manager focusing on analytics strategy and organizational capability building Data Architecture roles designing enterprise data systems that embed quality controls

Company Overview

stichd

stichd operates as a specialized licensing and manufacturing company within the PUMA Group ecosystem, managing a prestigious portfolio of global brands including Tommy Hilfiger, Calvin Klein, Levi's, Formula 1, and major motorsport partnerships. The company serves as a one-stop-shop for design, sales, logistics, marketing, and digital services, creating significant complexity in data management across multiple brand requirements, international markets, and regulatory environments.

Strong market position as member of PUMA Group with established relationships with A-list global brands, providing stability and growth opportunities in competitive licensing industry. The company's focus on 'Consciously Craft Convenience' suggests emphasis on sustainable practices and operational excellence, indicating investment in infrastructure and process improvement initiatives.
Netherlands location provides strategic advantage for European operations with established logistics hub in Tilburg and global presence across Asia, North America, and Mexico. The Dutch market offers strong regulatory framework, international business climate, and access to multilingual talent pool essential for managing diverse brand portfolios.
International, dynamic environment with emphasis on work-life balance and employee development, typical of modern European companies competing for specialized talent. The company's legendary events and comprehensive benefits package suggest strong investment in employee retention and culture building, important for roles requiring deep institutional knowledge.
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