Data Analyst

Digital Waffle; Worcester; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

Digital Waffle, a leading ecommerce retailer, is hiring a Senior Data Analyst to drive smarter, commercially focused decision‑making across the business. This hands‑on role has leadership responsibility for a small team, building and improving reporting, data models and dashboards, and mentoring analysts to turn data into practical business decisions.

You will lead cross‑functional analytics projects, uncover opportunities for optimisation, own reporting quality and consistency, and collaborate

Qualifications

• Strong commercial experience within data analytics or business intelligence.
• Excellent SQL skills with experience querying large-scale datasets.
• Experience building dashboards, databases and reporting solutions.
• Proven ability to translate data into actionable commercial insight.
• Experience mentoring or managing junior analysts.
• Strong stakeholder management and communication skills.
• Good commercial awareness and the ability to understand wider business performance.
• Experience working with cloud data platforms and modern BI tools.
• Highly organised, proactive and comfortable managing multiple priorities.

Responsibilities

• Build and maintain complex data models, dashboards, reporting systems and automated analytics workflows.
• Lead and mentor a small team of Data Analysts, providing technical guidance and support.
• Turn large datasets into clear, actionable insights that improve commercial performance.
• Lead cross-functional analytics projects and help uncover opportunities for optimisation.
• Own the quality and consistency of reporting across the business.
• Manage incoming data requests, prioritise effectively and delegate work across the team.
• Improve BI tools, processes and reporting standards.
• Work closely with the Data Science Manager on the wider analytics and data roadmap.

Skills

SQL

Dashboards

Mentoring

Stakeholder management

Communication

Cloud platforms

BI tools

Data analytics

Data modeling

Reporting

Tools

Looker

Google Analytics

Google Cloud Platform

Job description

A leading ecommerce retailer is hiring a Senior Data Analyst to help drive smarter, more commercially focused decision-making across the business.

This is a hands-on senior analytics role with leadership responsibility for a small team. You'll build and improve reporting, data models and dashboards, while also mentoring analysts and helping stakeholders turn data into practical business decisions.

Role:

Senior Data Analyst

Location:

Hereford, hybrid working - 2 to 3 days per week onsite

What you’ll be doing

• Build and maintain complex data models, dashboards, reporting systems and automated analytics workflows.
• Lead and mentor a small team of Data Analysts, providing technical guidance and support.
• Turn large datasets into clear, actionable insights that improve commercial performance.
• Lead cross-functional analytics projects and help uncover opportunities for optimisation.
• Own the quality and consistency of reporting across the business.
• Manage incoming data requests, prioritise effectively and delegate work across the team.
• Improve BI tools, processes and reporting standards.
• Work closely with the Data Science Manager on the wider analytics and data roadmap.

What you’ll need

• Strong commercial experience within data analytics or business intelligence.
• Excellent SQL skills with experience querying large-scale datasets.
• Experience building dashboards, databases and reporting solutions.
• Proven ability to translate data into actionable commercial insight.
• Experience mentoring or managing junior analysts.
• Strong stakeholder management and communication skills.
• Good commercial awareness and the ability to understand wider business performance.
• Experience working with cloud data platforms and modern BI tools.
• Highly organised, proactive and comfortable managing multiple priorities.

Nice to have

• Experience with Google Cloud Platform.
• Experience using Looker or Google Analytics.
• Background within ecommerce, retail or another high-volume consumer environment.

This role would suit an experienced Data Analyst who enjoys combining hands-on technical work with team leadership and wants to play a key role in how a data-driven ecommerce business makes decisions.