Back to jobs

Junior Analytics Engineer

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

Before you apply

New graduates
Entry levelJob title: Junior Analytics Engineer

What you’ll work on

Full posting
  • Build 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 qualifications

Core 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);
Apply at Farfetch

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20267 days ago
Recorded sightings
8
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Farfetch is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • BigQuery
  • dbt
  • Looker
  • Power BI
  • SQL Server
  • Tableau
Where the posting names them
- 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;

Your next step

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Applying through Lever

  • No account needed: one form, and Lever reads your resume into the profile recruiters search.

Already applied? Track this application

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace. 
 
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.
Source details

View original posting ↗

Source notes

Source excerpts

Selected 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.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.