Junior Analytics Engineer
Porto
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain data models, reports and dashboards in BigQuery and Looker
Extract and transform raw datasets into structured formats using BigQuery, dbt and Python
Apply statistical and analytical techniques to find insights in large datasets
Find and fix data issues to keep analytical outputs reliable and accurate
Explain complex findings to both technical and non-technical stakeholders
From the employer’s posting
Build and maintain data models, reports and dashboards in BigQuery and Looker
Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats
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
Communicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders
What you’ll bring
All qualificationsCore experience
- Proficiency in SQL (SQL Server, BigQuery, or similar);
- 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service;
- 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;
- Excellent communication skills with the ability to convey technical concepts to a non-technical audience;
Qualification wording
Proficiency in SQL (SQL Server, BigQuery, or similar);
25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service;
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;
Excellent communication skills with the ability to convey technical concepts to a non-technical audience;
Education & alternatives
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);
Tools in this posting
- Python
- R
- SQL
- BigQuery
- dbt
- Looker
- Power BI
- SQL Server
- Tableau
Source — Tool mentions in context
- 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;
- 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;
- 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);
- 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;
- 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;
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Porto
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.