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Senior Data Analyst

Reads like an Analytics Engineer role: dbt models and clean tables.

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 posting
  • Build and maintain dbt data transformations and models in BigQuery

  • Translate business needs into scalable data models and the semantic layer

  • Deliver reports, KPIs and dashboards as self-service data products

  • Identify, collect and transform data from multiple sources

  • Promote best practices in version control, documentation and CI/CD

From the employer’s posting
Build and maintain robust data transformations and models in dbt
Translate business needs into clear and scalable data models and our semantic layer
Deliver analytical insights and self-service data products (reports, KPIs, dashboards)
Identify, collect, and transform data from multiple sources
Promote best practices in data development, version control, and documentation using Git and CI/CD workflows
Apply at Richemont

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202627 days ago
Recorded sightings
79
Last seen by us
Nov 4, 2026
Employer says posted
Sep 10, 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 27

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From 1,405 similar postings that came down. Coming down is not always a hire.

Richemont is hiring

17 open jobs

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

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  • Takes jobs down at a usual pace
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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
  • BigQuery
  • dbt
  • GCP
Where the posting names them
How will you experience success with us - Advanced SQL: able to write optimized, maintainable queries using complex joins, CTEs, and window functions. - dbt for data modelling using medallion architecture, testing, and documentation.
- Translate business needs into clear and scalable data models and our semantic layer, ensuring technical solutions align with our long-term platform design and methodologies. - Build and maintain robust data transformations and models in dbt, ensuring data consistency, quality, and reusability across our BigQuery environment. - Deliver analytical insights and self-service data products (reports, KPIs, dashboards) that drive data decision-making culture.
- dbt for data modelling using medallion architecture, testing, and documentation. - Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. - Git version control and collaborative development practices.
- Advanced SQL: able to write optimized, maintainable queries using complex joins, CTEs, and window functions. - dbt for data modelling using medallion architecture, testing, and documentation. - Hands-on experience with Google Cloud Platform (GCP), especially BigQuery.

Your next step

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Job description

View original posting ↗

Since Watchfinder & Co. was first founded in 2002, it has grown to become the premier resource from which to buy and sell premium pre-owned watches. With thousands of watches available from more than 50 brands, including Rolex, Omega, IWC and more, plus boutiques across the UK and a manufacturer certified service centre, Watchfinder has established itself as the top pre-owned watch specialist.

How will you make an impact?

  • Collaborate in cross-functional teams (Data, Tech, and Business) to solve complex business problems through data, from understanding requirements to delivering analytical solutions. 
  • Translate business needs into clear and scalable data models and our semantic layer, ensuring technical solutions align with our long-term platform design and methodologies. 
  • Build and maintain robust data transformations and models in dbt, ensuring data consistency, quality, and reusability across our BigQuery environment. 
  • Deliver analytical insights and self-service data products (reports, KPIs, dashboards) that drive data decision-making culture. 
  • Identify, collect, and transform data from multiple sources; model it effectively for analytical consumption following layered architecture principles.   
  • Promote best practices in data development, version control, and documentation using Git and CI/CD workflows. 
  • Proactively identify data quality issues, operational risks, and growth opportunities, driving data-driven recommendations and influencing priorities. 
  • Communicate insights clearly to technical and non-technical audiences, including senior stakeholders, supporting business alignment and adoption. 
  • Contribute to team culture by sharing knowledge, supporting peer reviews, and mentoring colleagues when needed. 

How will you experience success with us

  • Advanced SQL: able to write optimized, maintainable queries using complex joins, CTEs, and window functions. 
  • dbt for data modelling using medallion architecture, testing, and documentation. 
  • Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. 
  • Git version control and collaborative development practices. 
  • Ability to translate business requirements into well-structured, scalable data models. 
  • Problem-solving and analytical thinking, with a focus on clarity and impact. 
  • Good communication skills: able to simplify technical topics and engage effectively with stakeholders across business functions. 
  • Proactive mindset, capable of managing priorities, documenting work clearly, and driving outcomes independently. 

Your journey with us

Our aim is to provide you a transparent interview process from the moment you apply for the role. It’s important for us that you get to know us to ensure the role aligns to your future career objectives.

We provide all candidates with open-door access to key people across the business so they can discuss opportunities, get a feel for our culture, and better understand how they can make an impact and be part of Watchfinder’s exciting trajectory.

Interview Process

Intro Call with Talent Team: An introductory call with our in-house talent team to learn more about your skills and experience in more detail.

1st Stage: Interview with our Business Intelligence Manager and Senior Data Analyst to learn more about your skills, experience, and motivation for the role.

2nd Stage: Present a Case Study to our Business Intelligence Manager and Senior Data Analyst.

Final Stage: Final interview with the CPO and HR Business Partner .

Our Benefits & Incentives

As well as a competitive salary we also offer more great benefits seen below:

Private healthcare and dental

Competitive pension scheme

Holiday scheme – Increasing annual leave

Cycle to work scheme

Employee Assistant programme

Income Protection

Life Assurance

Why work for Watchfinder?

Firstly, what makes Watchfinder a great place to work is the people! Whether that be within your immediate team or across other areas of the business, there really is a family feel across the whole company.

If personal growth and development is high on your priority list, then Watchfinder is the place for you. We’ve had numerous success stories throughout the business of our staff furthering and developing their careers, proving to be integral contributors to the company.

To be part of this exciting journey, apply now!

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West Malling

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