Analytics Engineer

Porto
Farfetch - Technology – Engineering /
Full-time /
Hybrid
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

TECHNOLOGY
We're on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it. We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.

PORTO
Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. From Account Management to Technology and Product, whatever your skills are, you'll find your fit here. You can have an informal meeting in the treehouse or play the piano in your lunch break!

THE ROLE
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.

WHAT YOU'LL DO

    • Analytics Platforms Administration:
    • 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.

WHO YOU ARE

    • Bachelor's degree in Computer Science, Information Systems, or a related field.
    • Proven experience administering and maintaining Looker instances in a production environment.
    • Strong understanding of SQL, LookML, and relational databases.
    • Excellent problem-solving skills with the ability to troubleshoot and resolve technical issues independently.
    • Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
    • Detail-oriented with a focus on accuracy and data integrity.
    • Ability to work collaboratively in a fast-paced, cross-functional environment.