Time since we first saw it
Day 28
Similar jobs usually come down between day 6 and day 47.
At Richemont, jobs usually come down by about day 36.
From 1,424 similar postings that came down, and 37 of Richemont’s. Coming down is not always a hire.
International Commercial Senior Analytics Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- 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 postingLead end-to-end technical delivery of major commercial analytics projects
Design and optimize data models in Google BigQuery using dbt and advanced SQL
Build and expand the LookML semantic layer and dashboards for business stakeholders
Act as technical owner for platform upgrades, architecture shifts and migrations
Maintain BigQuery models, dbt projects and Looker environments for performance and cost
From the employer’s posting
Lead the end-to-end technical delivery of major commercial analytics projects.
Design, build, and optimize enterprise-grade data models in Google BigQuery using dbt and advanced SQL.
Build and expand our semantic layer using LookML, delivering high-performing dashboards and reports for key business stakeholders.
Act as the technical owner when platform updates, architectural shifts, or system migrations occur, ensuring seamless transitions.
Perform lightweight, proactive upkeep of our BigQuery models, dbt projects, and Looker environments to maintain optimal performance, data quality, and cost efficiency.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202628 days ago
- Recorded sightings
- 80
- Last seen by us
- Nov 5, 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
Richemont is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analytics Engineer hiring is picking up
- Takes jobs down at a usual pace
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
- SQL
- BigQuery
- dbt
- Looker
Where the posting names them
We would like to talk to you about the opportunity to join our Maison as International Commercial Senior Analytics Engineer, reporting to the International Commercial Data Science Manager. In this role, you lead and deliver high-visibility data initiatives that directly drive our commercial operations. Heavily project-focused, your primary priority will be executing complex analytics projects—leveraging Google BigQuery, dbt, Looker (LookML), and Python to build scalable solutions rapidly and efficiently. While you will also oversee core platform maintenance and architectural updates, your focus will be on high-impact project delivery. HOW WILL YOU MAKE AN IMPACT?
- You have a proven track record of building and managing Looker semantic models with LookML. - You are proficient in Python for data manipulation and process automation. - You can manage multiple high-visibility projects simultaneously, delivering quickly without compromising code quality.
- Project Execution: Lead the end-to-end technical delivery of major commercial analytics projects. - BigQuery & dbt Data Modeling: Design, build, and optimize enterprise-grade data models in Google BigQuery using dbt and advanced SQL. - Looker Development: Build and expand our semantic layer using LookML, delivering high-performing dashboards and reports for key business stakeholders.
- You have strong hands-on experience optimizing queries, managing schemas, and building data models natively in BigQuery. - You have deep expertise in dbt and advanced SQL modeling. - You have a proven track record of building and managing Looker semantic models with LookML.
- Platform Upgrades & Migrations: Act as the technical owner when platform updates, architectural shifts, or system migrations occur, ensuring seamless transitions. - System Maintenance: Perform lightweight, proactive upkeep of our BigQuery models, dbt projects, and Looker environments to maintain optimal performance, data quality, and cost efficiency. HOW WILL YOU EXPERIENCE SUCCESS WITH US?
HOW WILL YOU EXPERIENCE SUCCESS WITH US? - You have strong hands-on experience optimizing queries, managing schemas, and building data models natively in BigQuery. - You have deep expertise in dbt and advanced SQL modeling.
- BigQuery & dbt Data Modeling: Design, build, and optimize enterprise-grade data models in Google BigQuery using dbt and advanced SQL. - Looker Development: Build and expand our semantic layer using LookML, delivering high-performing dashboards and reports for key business stakeholders. - Stakeholder Collaboration: Partner closely with business partners to translate project requirements into clean, scalable technical implementations.
- You have deep expertise in dbt and advanced SQL modeling. - You have a proven track record of building and managing Looker semantic models with LookML. - You are proficient in Python for data manipulation and process automation.
Your next step
Complete your application on richemont.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
The story of Cartier is founded on audacity and passion. For more than 170 years we have embraced a bold, pioneering spirit that continues to inspire our teams across all Métiers from our boutiques to our workshops and corporate offices. Our 9000+ colleagues of 105 nationalities are united by a shared independent spirit and commitment to excellence, striving to continuously enrich our Maison’s heritage by pushing the boundaries of creativity.
We would like to talk to you about the opportunity to join our Maison as International Commercial Senior Analytics Engineer, reporting to the International Commercial Data Science Manager.
In this role, you lead and deliver high-visibility data initiatives that directly drive our commercial operations. Heavily project-focused, your primary priority will be executing complex analytics projects—leveraging Google BigQuery, dbt, Looker (LookML), and Python to build scalable solutions rapidly and efficiently. While you will also oversee core platform maintenance and architectural updates, your focus will be on high-impact project delivery.
HOW WILL YOU MAKE AN IMPACT?
High-Impact Project Delivery
- Project Execution: Lead the end-to-end technical delivery of major commercial analytics projects.
- BigQuery & dbt Data Modeling: Design, build, and optimize enterprise-grade data models in Google BigQuery using dbt and advanced SQL.
- Looker Development: Build and expand our semantic layer using LookML, delivering high-performing dashboards and reports for key business stakeholders.
- Stakeholder Collaboration: Partner closely with business partners to translate project requirements into clean, scalable technical implementations.
Architecture & Platform Maintenance
- Platform Upgrades & Migrations: Act as the technical owner when platform updates, architectural shifts, or system migrations occur, ensuring seamless transitions.
- System Maintenance: Perform lightweight, proactive upkeep of our BigQuery models, dbt projects, and Looker environments to maintain optimal performance, data quality, and cost efficiency.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
- You have strong hands-on experience optimizing queries, managing schemas, and building data models natively in BigQuery.
- You have deep expertise in dbt and advanced SQL modeling.
- You have a proven track record of building and managing Looker semantic models with LookML.
- You are proficient in Python for data manipulation and process automation.
- You can manage multiple high-visibility projects simultaneously, delivering quickly without compromising code quality.
- You have a strong foundation in data architecture and can lead technical migrations, version upgrades, and platform refactoring when needed.
- You collaborate effectively with commercial teams, providing practical technical solutions and guidance.
- You are fluent in written and spoken English.
- undefined
WHAT DO WE OFFER?
- We create a positive environment and highlight your personal and team performances.
- We’re fully transparent and share with you: Maison strategies, key information, needs of others Corporate Departments.
- We constantly educate you with: Cartier’s savoir-faire, competitive landscape, industry news, client experience best practices.
YOUR JOURNEY WITH US
If your application is selected, we will give you an introductory call to further discuss the opportunity, and next steps. If things go well on both ends, you will have a chance to meet the International Commercial Data Science Manager and the HR Partner.
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