Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you'll do As part of our growing, global Product Support team, you'll be a critical driver in delivering excellent user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, problem-solving mindset, and project management skills to strategically improve our support systems, processes, and product quality. You'll own complex technical user issues and coordinate with cross-functional teams, including Engineering and Product, to drive them to resolution. A deep understanding of SQL and APIs allows you to engage with these teams effectively, analyse data to inform decisions, and propose solutions that drive operational efficiency. Your work focuses on scaling support operations, creating better user experiences, and pushing forward continuous improvements that align with our key metrics, such as Consumer Satisfaction (CSAT), Contact Rate, and Service Level Agreements (SLA). Responsibilities Analyse and troubleshoot complex technical issues through direct user interaction (email, phone), utilising SQL to extract and interpret data, and leveraging your knowledge of API documentation. Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues. Strategically optimise and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics. Lead continuous improvement ini
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Role overview
Job description
MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries.
Our Master Data Management (MDM) team is seeking two Senior Data Analysts to play a key role in modernizing our data ecosystem. The successful candidates will support strategic initiatives to eliminate dependencies on mainframe-based data sources while preserving existing data structures and quality standards. They will also help drive innovative approaches to data sharing, integration, and delivery, enabling our clients to leverage Dun & Bradstreet's AI-ready Commercial Graph data.
About the Role:
As a Senior Data Analyst within our MDM organization, you will support enterprise-wide data modernization initiatives focused on improving data quality, governance, lineage, and integration. You will partner with engineering, product, and business stakeholders to ensure high-quality data assets are delivered to both internal and external customers.
What’s on Offer at MDM Ireland
25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
Flexible working - hybrid model
Employee Health Insurance
Mental Health Support program
Pension Contribution
Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
Life Assurance
Educational Assistance Program
Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)
Team Overview:
Key Responsibilities:
- Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data).
- Address challenges in data quality, identity resolution, integration, and governance at scale.
- Build highly available, resilient systems that support both real-time and batch workloads across global regions.
- Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions.
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Analyze and document end-to-end data flows, mappings, and dependencies across multiple systems and data platforms.
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Reverse engineer legacy data processes and create transformation specifications to support migration to modern cloud-based platforms.
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Drive data stewardship initiatives and establish data quality standards across systems and teams.
- Ability to design data models/data flows for optimal data processing
- Collaborate with stakeholders to understand requirements and deliver objective driven business solutions
- Provide analysis, insights, and recommendations to support business needs
- Stay current with emerging Generative AI technologies, tools, and best practices
- Data Analysis:
- Thorough knowledge and hands on experience with designing/analyzing data flow in data pipelines, mapping data across platforms
- Hands-on experience creating data transformation specifications clearly defining the rules for implementation team to map data between various data stores
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Strong understanding of commercial data domains and the ability to translate customer data requirements into actionable data solutions.
- Hands-on experience with creating data lineage, Ontology, Reference data, data modelling, data transformations etc.
- Ability to build/use tools to compare data at both macro and micro level and derive insights to enable data migration
- Data stores & Querying
- Very strong SQL querying skills specifically GCP data stores (Big Table, Big Query).
- Advantage to have Mainframe knowledge (to assist in reviewing the data sets we will replace)
- Experience with Snowflake is preferable
- Experience with Data profiling, analyzing fill rates, comparing distribution of data attributes
- Data Stewardship:
- Knowledge and experience in frameworks/tools to measure and enforce data quality principles like integrity, consistency, accuracy
- Ability to report periodic data quality dashboards, derive and report data insights to aid stakeholders take informed decisions
- Others:
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Experience leveraging AI-assisted tools to improve productivity, analysis, documentation, or data management processes.
- Strong analytical, problem-solving, communication, and stakeholder management skills
- Worked in a completely agile environment and used tools like JIRA, Confluence
- Exposure to cloud platforms, IDEs, version control repos like GitHub
- API related – JSON, XML, Postman, REST
What they are looking for
Skills & requirements
Department · MDM Technology
Hiring company
Dun & Bradstreet India
Education
Verified business data and persistent identity help you reduce risk, improve decisions, and drive growth across your organization.
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