Senior Data Analyst

Richemont; West Malling; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private healthcare

Dental care

Pension scheme

Holiday scheme

Cycle to work

Employee assistance programme

Income protection

Life Assurance

Job summary

Watchfinder is seeking a data/BI engineer to collaborate with Data, Tech and Business teams to deliver analytical solutions from requirements to deployment. You will translate business needs into scalable data models and a semantic layer, build robust dbt models in BigQuery, and deliver dashboards driving data-driven decisions.

You'll ensure data quality across sources, promote CI/CD and best practices, and mentor peers.

Qualifications

• Strong SQL skills with complex joins, CTEs and window functions.
• Experience with dbt for data modeling and testing.
• Proficient with Git and CI/CD practices.
• Ability to translate business requirements into well-structured data models.

Responsibilities

• Collaborate in cross-functional teams to solve data-driven business problems.
• Translate business needs into scalable data models and a semantic layer.
• Build and maintain robust data transformations and models in dbt.
• Deliver analytical insights, dashboards, and self-serve data products.
• Identify data sources, ensure data quality, and promote best practices.
• Communicate insights to technical and non-technical stakeholders.
• Mentor teammates and contribute to team knowledge sharing.

Skills

Advanced SQL

Data modeling

Communication

Problem solving

Mentoring

Tools

dbt

BigQuery

GCP

Git

Job description

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 Watchfinders 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.