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3 дня назад

Specialist Data Analyst (MDM)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Ireland
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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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

hirify.global, 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 €40 per month.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’