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Data Analyst

hace 2 meses


Barcelona, Barcelona, España Php4 Manila A tiempo completo
{"title": "Data Analyst", "description": "Job Summary

We are seeking a highly skilled Data Analyst to join our H&B Europe Operations team. As a pivotal player in supporting our core platform, Benefits Engine, you will be responsible for ensuring the integrity and utility of our data.

Key Responsibilities
  • Produce critical ad-hoc reports using Excel, PowerBI, and SQL to provide insights and support decision-making processes.
  • Maintain and enhance reporting dashboards in PowerBI to visualize data effectively for stakeholders.
  • Oversee the data cleaning processes as an expert in Benefits Engine and its data architecture, ensuring data accuracy and quality.
  • Lead the regional data expertise community, currently including Spain, GB, and Netherlands, and expand it to encompass all countries.
  • Demonstrate advanced proficiency with PowerPlatform, including the ability to create and manage workflows, apps, and automations that streamline operations and drive efficiencies.
  • Monitor and maintain the connectivity between Benefits Engine and local servicing platforms in Spain, Italy, Switzerland, and Poland, ensuring seamless integration and data flow.
  • Be a part of the development of the Market Facing Technology (MFT) strategy for Benefits Insights for local clients within Europe.
  • Apply data analysis and mapping skills to identify trends, opportunities, and areas for improvement within our data sets.
  • Engage with stakeholders to understand their data needs and deliver solutions that meet or exceed expectations.
  • Stay abreast of the latest developments in data analysis tools and techniques, ensuring that our operations remain cutting-edge and efficient.
Requirements
  • Proven experience in data analysis, reporting, and dashboard creation.
  • Strong working knowledge of Excel, PowerBI, SQL, Benefits Engine, and preferably Benefits Insights, PowerPlatform, Azure Data Factory, and Azure AI Builder.
  • Experience in leading data-related communities and initiatives.
  • Familiarity with data cleaning processes and data quality management.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Detail-oriented with a commitment to quality.