Specialist Data Analyst (R-19890)
MDM 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.
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:
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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
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
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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
Skills
As published by lever · 13 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Twitter URL, Other website
Short answers (3)
- If you have a family member or relative currently employed by MDM Technology or Dun & Bradstreet, please list their name(s): optional
- If you were referred by a MDM Technology or Dun & Bradstreet employee, please list their name: optional
- If you have been employed by KPMG, please share your functional area(s) and approximate dates of employment. optional
Pick from a list (10)
- Are you a current or previous employee of MDM Technology or Dun & Bradstreet?
- Do you have a family member or relative who is currently employed by MDM Technology or Dun & Bradstreet?
- Did a current MDM Technology or Dun & Bradstreet employee influence you to apply or refer you to the company/role?
- If successful, I will be subject to verification checks relating to my education, previous employment, and publicly available data in accordance with the MDM Technology Candidate Privacy Notice and local legislation: https://bit.ly/3IHSTMd. optional
- I am willing and able to work a hybrid schedule at the office location listed in this job posting.
- This hybrid role requires being in the office on a regular basis. What is your ideal number of days onsite?
- Are you eligible to work in Ireland?
- Whose resume are you submitting?
- While exceptions can be made, in most cases, you must have been in your current position for at least 12 months and be in good standing in terms of job performance. To check your eligibility, or request an exception, reach out to your HRBP. If you are unsure whom to contact, please create a Workday Help ticket, Case Type: Career mobility. For more info, visit https://bit.ly/41PaGGw or The Hub. Click "Retry Request" if you receive a URL error. To confirm your understanding of this policy, click "I acknowledge" below.
- Are you a current or former employee of KPMG?