---
title: 'Specialist Data Analyst (R-19890) at Dun & Bradstreet'
canonical: 'https://feeny.ai/job/specialist-data-analyst-r-19890-dun-bradstreet-dublin-14rq1kv7trrr'
type: 'job'
last_seen: '2026-09-12'
---

# Specialist Data Analyst (R-19890) at Dun & Bradstreet

- **Company:** Dun & Bradstreet
- **Location:** Dublin, Ireland
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/dnb/4b957fe6-86a9-4cc2-9f7e-ac9620749eeb

## 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:

- 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.

Key Responsibilities:

- Analyze and document end-to-end data flows, mappings, and dependencies across multiple systems and data platforms.

- Reverse engineer legacy data processes and create transformation specifications to support migration to modern cloud-based platforms.

- 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

Key Requirements:

- 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

- 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:

- 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

All employees and contractors working in MDM Technology should be aware that they have responsibilities in relation to the Company’s Business Management System.  This relates to information and its security, quality, environment and health and safety both during and post-employment with MDM Technology.

MDM Technology is an Equal Opportunity Employer

---

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## #LI-DNI

## About Dun & Bradstreet

## Company Overview
- **One-liner**: Dun & Bradstreet provides business decisioning data, analytics, and a global identity layer (the D-U-N‑S Number) to help companies manage risk, accelerate growth, and operationalize trusted context across sales, finance, compliance, and supply chains.
- **Entity Type**: Public (NYSE: DNB)
- **Headquarters**: Jacksonville, Florida, USA
- **Founded**: 1841
- **Founders**: Not publicly available (historical formation through mergers of Lewis Tappan’s Mercantile Agency and R.G. Dun & Co.)

## Core Business
- **Primary industries**: Information Services, Business Data & Analytics, Credit Risk, Compliance, Supply Chain Management
- **Target customers**: B2B – enterprises, SMBs, financial institutions, government agencies, procurement and risk teams
- **Mission / purpose**: “Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity.” [dnb.com](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)

## Products & Services
- **D&B Data Cloud**: A governed foundation of verified business identity and continuously updated context, used to enrich CRM, ERP, and AI workflows.
- **D-U-N-S® Number**: A free, globally recognized unique business identifier that establishes a credit profile and unlocks access to suppliers, lenders, and government contracts.
- **D&B Commercial Graph**: A governed data layer delivering traceable, auditable business context for analytics and AI.
- **D&B AI Connectors**: Pre-built integrations that deliver decision-ready business insight into Salesforce, SAP, and other enterprise tools.
- **D&B MCP Server**: Enables AI agents to connect directly to governed business insight for auditability and reliable execution.
- **Risk & Compliance Solutions**: Third-party onboarding, monitoring, and enhanced due diligence.
- **Sales & Marketing Solutions**: Account-based data, lead scoring, and territory insights.
- **Finance Solutions**: Credit risk assessment, cash flow optimization, and financial signals.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed in search results (publicly traded on NYSE; market cap can be looked up but not provided in the retrieved data).
- **Key Metric**: Annual revenue of **$2.4B** (latest full fiscal year). Q2 FY2025 (ended June 30, 2025) revenue was **$585.2M** with a net loss of **$33.7M**. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Notable Investors / Partners**: Parent company **Clearlake Capital Group, L.P.** (majority shareholder). Other institutional investors not listed in the search results.
- **Growth Signals**:
  - Headcount: **4,130 employees** (monthly growth +0.2%)
  - Active job postings: **87** (monthly growth +20.8%, quarterly growth +67.3%)
  - Operating in 28 countries, with data covering many more.
  - Recent emphasis on AI connectors and the MCP server to embed verified business context into agentic workflows.

## Competitive Advantages
- **Persistent Identity (D-U-N-S Number)**: A unique, globally recognized business identifier that provides a single source of truth across systems and use cases, creating a strong switching cost.
- **Longevity & Breadth**: Founded in 1841, the company has accumulated decades of business data and relationships, making it one of the most comprehensive business intelligence providers.
- **Governance & Traceability**: Unlike generic data lakes, the D&B Commercial Graph is designed for auditability, compliance, and AI readiness – a differentiator in regulated industries.
- **Wide Ecosystem Integration**: Native connectors to major platforms (Salesforce, SAP, Tableau, etc.) reduce friction for enterprise adoption.

## Strategic Focus
- **AI as a Context Layer**: Position “verified business context” as the missing link for enterprise AI success, emphasizing governed, traceable data over fragmented inputs.
- **Product Innovation**: Continued development of the MCP Server and AI connectors to enable agentic workflows in procurement, compliance, and sales.
- **Risk & Compliance Expansion**: Deepening capabilities in third-party risk management and enhanced due diligence to meet rising regulatory demands.
- **Data Modernization**: Investing in cloud-native infrastructure and real-time data updates to stay ahead of competitors like Experian and Moody’s.

## Why Work Here
- **Culture & Rating**: Employer rating of **3.8/5** (2,861 reviews on LinkedIn) with strong marks for work-life balance (4.0) and culture (3.7). Compensation scores 3.6 and career development 3.6. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Work Model**: **Hybrid** – employees typically work on-site **2 days a week** at their Jacksonville HQ or one of 32 global offices. [builtin.com](https://builtin.com/company/dun-bradstreet)
- **Notable Perks**:
  - Performance bonuses and employee discounts
  - Adoption assistance, generous parental leave, and family medical leave
  - Dental, health, and FSA benefits
  - Job training, conferences, and customized development tracks
  - Diverse workforce: talent sourced from top companies (IBM, Oracle, Cognizant, Deloitte, etc.)
- **Technical Environment**: Engineering teams work on large-scale data platforms, AI/ML models, and data pipelines. Open roles include Data Scientists, AI Security Engineers, and Principal Systems Engineers.

## Sources
1. [dnb.com – Company Overview](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)
2. [dnb.com – Careers](https://www.dnb.com/en-us/about/careers.html)
3. [jobs.lever.co – Open Positions](https://jobs.lever.co/dnb)
4. [linkedin.com – Company Profile](https://www.linkedin.com/company/dun-&-bradstreet)
5. [builtin.com – Culture & Perks](https://builtin.com/company/dun-bradstreet)

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