Data Analyst and Reporting Specialist

Há 1 mês

Porto, Porto, Portugal Farfetch Tempo inteiro

Job Description:

At Farfetch, we're on a mission to build the technology that powers the global platform for luxury fashion. As a Analytics Engineer, you will be responsible for managing, administering, and maintaining our Reporting Solutions to ensure its optimal performance and reliability. You will work closely with cross-functional teams to understand their analytics needs and implement solutions. Your role will involve configuring user access, optimizing performance, troubleshooting issues, and staying up-to-date with latest features and best practices. Additionally, you will be responsible for training users and providing ongoing support to ensure they can effectively leverage skills.

Key Responsibilities:
  • Configure and maintain Reporting Tools settings, including user roles, permissions, and access controls.
  • Manage models, reports, and dashboards to ensure accuracy, consistency, and efficiency.
  • Monitor analytics systems performance and implement optimizations to enhance query performance and minimize downtime.
  • Stay informed about new functionalities, releases, updates, and best practices to ensure we are up-to-date and aligned with industry standards.
User Support and Training:
  • Provide training sessions and workshops to onboard new users and empower existing users to effectively utilize Looker for data analysis and reporting.
  • Offer ongoing support to address user questions, troubleshoot issues, and provide guidance on best practices.
  • Develop and maintain documentation, FAQs, and tutorials to facilitate self-service support and knowledge sharing among users.
Collaboration and Integration:
  • Collaborate with data engineers, analysts, and other stakeholders to understand business requirements and translate them into actionable insights.
  • Work closely with IT and security teams to ensure compliance with data governance policies and security standards.
  • Integrations with different data sources, tools, and platforms to streamline data workflows and enable seamless data access and analysis.
Quality Assurance and Testing:
  • Conduct regular quality assurance checks to verify the accuracy and reliability of data models, reports, and dashboards.
  • Perform thorough testing of new features, updates, and configurations to identify and resolve any issues or discrepancies before deployment to production.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.

Additional Requirements:

• Proven experience administering and maintaining Looker instances in a production environment.

Skills:

• Strong understanding of SQL, LookML, and relational databases.

Personal Qualities:

• Excellent problem-solving skills with the ability to troubleshoot and resolve technical issues independently.

Collaboration and Communication:

• Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Detail-Oriented:

• Detail-oriented with a focus on accuracy and data integrity.

Team Player:

• Ability to work collaboratively in a fast-paced, cross-functional environment.

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