Senior Data Analyst

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We are seeking a Senior Data Analyst who not only has a solid technical foundation, but also the curiosity and communication skills to work with stakeholders across the business and turn data into solutions for real-world problems.

In this role, you’ll partner with teams in marketing, commercial, and beyond to understand their challenges, uncover opportunities, and use data to guide better decisions. You won’t just be producing reports, you’ll be helping colleagues ask the right questions, find the right data, and interpret it in a way that drives action.

As part of this, you’ll play a key role in shaping our client’s reporting and analysis capability, ensuring that insights are delivered in the right format, and empowering teams to self‑serve where appropriate. Over time, the scope of your work will grow as you help departments unlock deeper insights and build a culture of smarter data usage.

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• Competitive salary (£60k–£70k) depending on experience
  
• Opportunities to shape how data is used across a growing and data‑literate organisation
  
• A collaborative and learning-focused environment
  
• Flexibility, with a requirement to be office-based a couple of days a week to work closely with business teams
  

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• Lead the design of data models that engineers will implement, requiring a strong grasp of underlying data infrastructure and architecture
  
• Build and maintain scalable, accurate, and insightful reports and dashboards
  
• Partner with stakeholders (e.g., marketing, finance, operations) to understand their data needs and translate them into actionable solutions.
  
• Develop SQL queries and models to support reporting, analysis, and data transformation.
  
• Act as a conduit between business teams and the core data team to ensure delivery of relevant, clean, and structured data.
  
• Provide training to internal teams to increase effective use of BI tools and self‑service capabilities.
  
• Identify data gaps or inefficiencies in current reporting and proactively offer solutions.
  
• Support initiatives related to natural language querying, making data more accessible across the business.
  
• Collaborate closely with Finance and Commercial teams; an analytical mindset with finance or business analysis experience is a plus.
  

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• Exposure to Snowflake, Databricks, or BigQuery, preferably Snowflake, with the ability to query these systems directly.
  
• Understanding of modern data architecture concepts including the medallion architecture, staged data from external sources, event streaming principles, and Cortex/ML chains.
  
• Strong SQL skills with experience in building data models.
  
• Experience with BI tools like Sigma, Power BI, Looker, or similar.
  
• Comfortable working in hybrid data/BA roles, gathering requirements, working with stakeholders, and iterating on outputs.
  
• Confident engaging with teams across departments, understanding and articulating their reporting needs.
  
• Ability to lead the design of analytical models with a clear understanding of how they will be built and deployed by engineers.
  
• Previous experience in a Finance Analyst, Business Analyst, or similar data-driven role is ideal.
  
• Exposure to natural language querying tools or approaches is a bonus.
  
• A hands‑on, curious mindset, you're not just building dashboards, you're looking to understand the “why” behind the numbers.
  

Seniority Level: Mid‑Senior level

Employment Type: Full‑time

Job Function: Information Technology

Industries: Staffing and Recruiting

Location: Leeds, England, United Kingdom