Data Analyst

London (Hybrid, 3 days per week in office) | Up to £60,000

This is an excellent opportunity for a Data Analyst to join a highly data-driven organisation where analytics plays a key role in shaping business and customer decisions. You'll work across a variety of projects, turning complex data into actionable insights while developing your technical and commercial expertise in a collaborative environment.

The Company

They are a well-established organisation that uses data, technology and analytics to drive measurable business outcomes. With a strong focus on innovation and continuous improvement, they empower teams to make informed decisions through high-quality data and insight. The business offers a supportive environment where curiosity, learning and collaboration are actively encouraged.

The Role

You will play a key role in delivering insight and analytics that support business performance and customer strategy.

Responsibilities include:

• Analysing customer and business data to identify trends, opportunities and actionable insights
• Delivering post-campaign and performance analysis to support decision-making
• Developing customer profiles and audience insights
• Supporting testing and measurement initiatives to evaluate business and marketing performance
• Creating reports, dashboards and visualisations for stakeholders
• Building measurement frameworks and KPI structures
• Collaborating with cross-functional teams to provide data-driven recommendations
• Presenting findings and insights to both technical and non-technical stakeholders

Your Skills & Experience

• Strong SQL and/or Python skills for data extraction and analysis
• Experience working with customer, product, marketing, sales or business datasets
• Ability to query data from cloud-based environments such as AWS, Azure or GCP
• Strong analytical and problem-solving skills
• Experience translating data into clear business recommendations
• Excellent communication and stakeholder management skills
• Naturally curious with a strong attention to detail

Desirable experience:

• Data visualisation and dashboarding tools
• Web or digital analytics
• Statistical analysis
• Customer segmentation or modelling
• Marketing technology platforms and campaign analytics
• Test and learn methodologies

How to Apply

To find out more about this Data Analyst opportunity, please apply with your CV for a confidential discussion.