Senior Data Analyst

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 Big Query 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.

• 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 Big Query.
• 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.

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.

• 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.

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

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.