À propos de ce poste Partner Operations Business Analyst chez Farfetch
(Lionesa)
WHAT YOU'LL DO
Data Modeling & Transformation: Design, build, and maintain robust, scalable data models and transformation pipelines using dbt and SQL (BigQuery) to ensure clean, reliable data for the Partner Operations domain.
Advanced Dashboarding & Reporting: Own the end-to-end creation of dynamic reporting solutions in Looker. Track key performance indicators (KPIs) and build intuitive visualizations that provide clear insights into business trends, challenges, and opportunities.
Deep-Dive Data Analysis: Conduct in-depth analysis on large, complex datasets to diagnose bottlenecks within Partner processes. Use structured, data-driven problem-solving to uncover root causes and identify growth opportunities.
Process Automation & Optimization: Identify areas for improvement in existing workflows and develop automated data solutions to reduce manual reporting and operational overhead.
Strategic Project Execution: Lead data-centric projects within Partner Operations from scoping to delivery, ensuring technical execution aligns with business objectives.
Collaboration & Stakeholder Management: Translate complex data findings into clear, actionable initiatives. Engage with senior stakeholders to present insights, negotiate ROI-focused solutions, and drive continuous improvement initiatives.
WHO YOU ARE
A fast learner with exceptional analytical and problem-solving skills, driven by data accuracy and process optimization.
Highly Technical: You possess advanced, hands-on experience with SQL/BigQuery and data visualization tools, specifically Looker (experience with LookML is highly preferred).
Data Modeling Expert: You have proven experience using dbt (Data Build Tool) to transform raw data into structured, analytics-ready models.
Strong Communicator: You excel at extracting insights from massive datasets and storytelling through data, with a proven track record of managing senior stakeholders.
Detail-oriented and intellectual curiosity.
Fluent in written and spoken English.
Bonus Points
Python Proficiency: Experience using Python for advanced data analysis, scripting, or automating operational processes.
Industry Experience: Previous experience working in Retail Operations, Online Marketplaces, or a similar high-volume operational environment.
REWARDS & BENEFITS
EQUAL OPPORTUNITIES STATEMENT
We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
