Junior Analytics Engineer

OPERATIONS

The Operations team serves as the backbone of our marketplace, seamlessly managing the entire order journey. From creating online content and ensuring secure payments to order fulfillment and delivery, while providing comprehensive customer and partner care, this team is relentlessly focused on improving the customer experience every single day.

PORTO

Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.

THE ROLE
Reporting to the Data & Analytics Manager, you’ll help solve complex data challenges and work with a wide range of tools to build accurate, scalable and innovative data solutions. With your analytical expertise and strong problem solving skills you’ll help the FintechOps department make better decisions with data!

WHAT YOU'LL DO
Tackle complex data problems with a variety of tools and implement innovative and scalable solutions;

Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats;

Build and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information;

Apply advanced statistical and analytical techniques to extract meaningful insights from large datasets;

Proactively identify and resolve data-related issues, ensuring the reliability and integrity of analytical outputs;

Collaborate with cross-functional teams to understand business requirements and to implement data-driven solutions;

Communicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders.

WHO YOU ARE
A bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered;

Proficiency in SQL (SQL Server, BigQuery, or similar);

Experience using data visualization tools (Looker, PowerBI, Tableau, or similar);

Knowledge of statistical programming languages like Python and/or R is a nice to have;

Ability to work autonomously in solving complex technical problems;

Detail-oriented with a focus on data accuracy and quality;

Excellent communication skills with the ability to convey technical concepts to a non-technical audience;

Advanced in English, both written and oral.

REWARDS & BENEFITS
Health insurance for the whole family and other well-being resources; 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service; Training opportunities and free access to LinkedIn Learning; Flexible benefits program; Flexible working environment.

EQUAL OPPORTUNITIES STATEMENT
Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. 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.

SCAM DISCLAIMER
It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.