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7 дней назад

Senior Data Analyst Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst Engineer (AI): Leading analytics and data enablement for Services & Operations by turning complex data into actionable insights, KPIs, and measurable business outcomes with an accent on data governance, business intelligence, and AI readiness. Focus on designing data models and pipelines, improving data quality and accessibility, and operationalizing AI-enabled insights and intelligent workflows.

Location: Sant Cugat del Valles, Barcelona, Spain

Company

hirify.global is a technology company with a Services & Operations organization focused on data, analytics, and AI transformation.

What you will do

  • Lead the analytics strategy for Services & Operations in alignment with business priorities.
  • Translate complex data into actionable insights, KPIs, recommendations, and measurable business outcomes.
  • Improve data accessibility and usability in partnership with engineering, architecture, and business teams.
  • Define data governance mechanisms, standards, documentation practices, and measurement frameworks.
  • Prioritize analytics demand and promote data-driven decision-making across the organization.
  • Prepare governed datasets and partner with technical teams to operationalize AI-enabled insights and intelligent workflows.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related discipline.
  • 4+ years of experience in data analytics, business intelligence, data engineering, or related technical roles.
  • Advanced SQL, data analysis, statistical methodologies, KPI development, and business performance management.
  • Experience with Power BI, forecasting, trend analysis, predictive analytics, data modeling, and semantic layer development.
  • Knowledge of ETL/ELT design, data pipeline orchestration, data governance, quality management, and metadata practices.
  • Understanding of AI and generative AI applications, including data preparation and governance requirements for AI solutions.

Culture & Benefits

  • Full-time position within the Services & Operations organization.
  • Cross-functional collaboration with technical and non-technical teams.
  • Opportunity to contribute to a data and AI transformation program with broad organizational visibility.
  • Work environment emphasizing curiosity, adaptability, continuous learning, and practical engineering-led problem solving.

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