3 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Specialist Data Analyst (MDM)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Specialist Data Analyst (MDM): Modernizing enterprise master data ecosystems by analyzing data flows, reverse-engineering legacy processes, and defining transformation specifications with an accent on data quality, lineage, governance, and integration. Focus on designing data models and migration comparisons, querying GCP data stores, and applying AI-assisted tools to improve data management.
Location: Dublin, Ireland; hybrid workplace
Company
, affiliated with Dun & Bradstreet, provides enterprise master data management solutions for creating trusted views of business entities and supporting analytics, compliance, and AI workflows.
What you will do
- Analyze and document end-to-end data flows, mappings, and dependencies across systems and data platforms.
- Reverse-engineer legacy data processes and create transformation specifications for migration to modern cloud platforms.
- Drive data stewardship initiatives and establish data quality standards across systems and teams.
- Design data models and data flows for efficient processing and support data migration analysis.
- Partner with engineering, product, business, and other stakeholders to translate requirements into data solutions.
- Provide insights and recommendations while evaluating emerging generative AI tools and practices.
Requirements
- Hands-on experience designing and analyzing data flows in pipelines and mapping data across platforms.
- Experience creating data transformation specifications, data lineage, ontologies, reference data, data models, and data transformations.
- Strong knowledge of commercial data domains, data profiling, fill-rate analysis, and attribute distribution comparisons.
- Very strong SQL skills with GCP data stores, including BigQuery and Bigtable; Snowflake experience is preferred.
- Knowledge of data quality frameworks and experience producing data quality dashboards and actionable insights.
- Strong analytical, problem-solving, communication, stakeholder management, agile, API, and cloud-platform experience, including JIRA, Confluence, GitHub, JSON, XML, Postman, and REST.
Nice to have
- Mainframe knowledge for reviewing legacy datasets.
- Experience with Snowflake.
Culture & Benefits
- Hybrid working model in Dublin.
- 25 days of annual leave, plus two paid volunteer days and one paid un-sick day.
- Option to buy or sell up to five additional vacation days annually.
- Employee health insurance, mental health support, pension contributions, and life assurance.
- Family-friendly leave, educational assistance, and a lifestyle account with contributions matched up to β¬40 per month.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β