- Farfetch
- Porto,
- 9 days ago
Junior Analytics Engineer.
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Junior Analytics Engineer: our view in 3 lines...
- The Role:This junior analytics engineering role supports the FintechOps department by turning marketplace data into reliable information for decision-making.
- The Person:The person will transform raw datasets, maintain data models, reports and dashboards, analyze large datasets, resolve data issues, and share findings with technical and non-technical stakeholders.
- Requirements:The role requires a bachelor's degree and at least two years of relevant experience, proficiency in SQL and data visualization tools, Python or R as a plus, and advanced English.
About 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!
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.

