Data Analyst - Power BI - Senior - EY GDS Spain - Hybrid
Role details
Job location
Tech stack
Job description
As a Senior Data Analyst, your responsibilities will include:
- Provide day-to-day Application Management support for Business Intelligence and Data Analytics solutions, including handling service requests, incident resolution, enhancements, change management, and problem management.
- Lead and coordinate root cause analysis for data/reporting issues, bugs, and performance bottlenecks, implementing corrective actions and improvements as needed.
- Collaborate with business users and technical stakeholders to gather requirements, understand data needs, and provide advice on Power BI dashboards, data models, and Databricks pipelines.
- Develop and maintain comprehensive documentation, including data flow diagrams, dashboard usage guides, and test cases/scripts for quality assurance.
- Flexibility in managing work hours due to the volatile nature of Application Management work including ability to being on call from time to time, for critical business requirements.
Requirements
- Strong expertise in Business Intelligence tools, especially Power BI and Databricks, with proven experience building and supporting dashboards and reports.
- Excellent problem-solving skills with the ability to perform root cause analysis and resolve data and reporting issues promptly.
- Understanding of ETL processes, data modeling, and best practices in data visualization.
- Effective communicator with experience working across global, offshore/onshore teams and collaborating with diverse stakeholders.
- Self-motivated and adaptable, capable of working independently in fast-paced, time-critical environments.
- Willingness and flexibility to manage shift work and on-call duties to support critical business needs.
- Full professional flueny in Italian / native speaker, with strong professional communication skills.
- Full proficiency in English - at least B2
To qualify for the role, you must have
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Bachelor's degree in a related technology field (Computer Science, Engineering, Data Analytics, etc.) or equivalent work experience.
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3+ years of hands-on experience in Business Intelligence, with strong proficiency in Power BI and Databricks; experience working with global clients is preferred.
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Proven experience in building and supporting BI dashboards, data models, and reports, ensuring minimal disruption to business operations.
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Ability to analyze user-reported issues, identify root causes, and deliver effective solutions in a timely manner.
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Experience collaborating with stakeholders to understand reporting needs, gather requirements, and develop scalable data solutions.
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Strong grasp of ETL processes, data modeling, and data visualization best practices.
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Ability to interpret business needs and translate them into technical solutions that enhance efficiency and data-driven decision-making.
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Excellent cross-functional communication skills; experience working in offshore/onshore delivery models.
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Ability to troubleshoot and resolve data discrepancies, report errors, and performance issues related to BI tools.
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Self-starter with the ability to work independently in fast-paced, time-critical environments.
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Flexibility in managing work hours due to the volatile nature of Application Management work including ability to do shifts and being on call for critical business requirements.
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Professional/ Native fluency in Italian is a must.
Ideally, you'll also have
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Experience working with cloud-based data platforms such as Azure especially in data engineering and analytics contexts.
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Strong knowledge of data integration from various sources (e.g., CRM, ERP, POS systems, web analytics), with experience in building robust ETL/ELT pipelines.
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Proficiency in Databricks, including use of Delta Lake, SQL, and PySpark for data transformation and processing.
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Familiarity with integrating Power BI dashboards with diverse data sources, including cloud storage, data warehouses, and APIs.
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Experience working in or supporting clients in retail or consumer goods industries is a plus.
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Certifications such as Microsoft Certified: Data Analyst Associate, Databricks Certified Data Engineer Associate, or similar credentials are a strong advantage.
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Professional proficiency in Espanish is a plus.
What we look for
We seek individuals who are passionate about their work and possess outstanding skills in their field. If You have a highly developed business acumen, exceptional interpersonal skills, and a willingness to embrace new professional challenges, this role is for You.