Specialist Data Analyst (R-19890)

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