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Analytics Engineer - Shop Analytics

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Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build, and maintain scalable data pipelines for shop and retail media reporting

  • Build automated reporting solutions from business stakeholder requirements

  • Enhance revenue attribution models and reporting for the advertising platform

  • Own data quality across key data assets

  • Work cross-functionally with product, tech, and retail media teams

From the employer’s posting
Design, build, and maintain robust and scalable data pipelines
Design and build automated reporting solutions based on business stakeholder requirements
Enhance revenue attribution models and expand reporting capabilities for our advertising platform
Maintain ownership of data quality across our data assets
Work cross-functionally with product, tech, and retail media teams

What you’ll bring

All qualifications

Core experience

  • At least 3 years of relevant experience
  • Advanced SQL, including query optimization for big data
  • Experience with dbt or similar transformation tools in big data
  • Data modeling for high-volume event and tracking data
  • Orchestration tools (Dagster, Airflow) and cloud big data platforms (BigQuery, Redshift)
Qualification wording
You have at least 3 years of relevant experience
Advanced SQL skills, including query optimization for big data environments
Experience with data transformation tools (e.g., dbt) in big data contexts
Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)

Posting record

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May be filledThe employer has taken this posting down, so the role may be filled. Check their website before applying.

Status in our records
No longer listed
First seen by us
Nov 3, 2026today
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Oct 27, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

ABOUT YOU SE & Co. KG is hiring

5 open jobs

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

  • Analytics Engineer hiring is picking up
  • Takes jobs down quickly
  • 40% of open jobs were reposted
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.

  • SQL
  • AWS
  • BigQuery
  • dbt
  • Docker
  • Redshift
  • Terraform
  • Airflow
  • Dagster
Where the posting names them
- You have at least 3 years of relevant experience - Advanced SQL skills, including query optimization for big data environments - Experience with data transformation tools (e.g., dbt) in big data contexts
- Solid understanding of frontend tracking and web analytics implementation (e.g., GA4) - Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift) - Experience with optimization techniques (partitioning, clustering)
Nice to Have - In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities - Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
- Advanced SQL skills, including query optimization for big data environments - Experience with data transformation tools (e.g., dbt) in big data contexts - Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
- Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform) - Practical experience with containerization technologies (e.g., Docker) Additional Information
- In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities - Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform) - Practical experience with containerization technologies (e.g., Docker)

Your next step

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Has ABOUT YOU SE & Co. KG posted this job before?

Yes. We’ve followed 8 other Analytics Engineer - Shop Analytics jobs there since May 2026. 6 came down, usually after about 7 days. 2 are still up.

  1. Hamburg Oder BerlinCame down after 48 days, first seen May 13
  2. Hamburg Or BerlinCame down after 48 days, first seen May 13
  3. BerlinCame down after 3 days, first seen Oct 16
  4. BerlinCame down after 3 days, first seen Oct 16
  5. BerlinCame down after 7 days, first seen Oct 27
  6. BerlinCame down after 7 days, first seen Oct 27
  7. BerlinStill up after 1 day, first seen Nov 3
  8. This jobCame down after 1 day, first seen Nov 3
  9. BerlinStill up after 0 days, first seen Nov 4

Large employers often post one title for several teams, so these can be separate openings.

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 ↗

Job Description

  • Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
  • Design and build automated reporting solutions based on business stakeholder requirements
  • Enhance revenue attribution models and expand reporting capabilities for our advertising platform
  • Maintain ownership of data quality across our data assets
  • Work cross-functionally with product, tech, and retail media teams

Qualifications

  • You have at least 3 years of relevant experience   
  • Advanced SQL skills, including query optimization for big data environments
  • Experience with data transformation tools (e.g., dbt) in big data contexts
  • Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
  • Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
  • Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
  • Experience with optimization techniques (partitioning, clustering)
  • Strong ability to work independently and drive projects forward
  • Excellent communication skills for collaborating with diverse stakeholders
  • Problem-solving approach with attention to detail
  • Ability to translate business requirements into technical solutions
  • Collaborative mindset, with experience working in cross-functional teams

Nice to Have 

  • In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
  • Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
  • Practical experience with containerization technologies (e.g., Docker)

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

Company Description

ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Source details

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Berlin, BE, Germany

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