About this role
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 insightsDelivering post-campaign and performance analysis to support decision-makingDeveloping customer profiles and audience insightsSupporting testing and measurement initiatives to evaluate business and marketing performanceCreating reports, dashboards and visualisations for stakeholdersBuilding measurement frameworks and KPI structuresCollaborating with cross-functional teams to provide data-driven recommendationsPresenting findings and insights to both technical and non-technical stakeholders Your Skills & Experience
Strong SQL and/or Python skills for data extraction and analysisExperience working with customer, product, marketing, sales or business datasetsAbility to query data from cloud-based environments such as AWS, Azure or GCPStrong analytical and problem-solving skillsExperience translating data into clear business recommendationsExcellent communication and stakeholder management skillsNaturally curious with a strong attention to detail Desirable experience:
Data visualisation and dashboarding toolsWeb or digital analyticsStatistical analysisCustomer segmentation or modellingMarketing technology platforms and campaign analyticsTest and learn methodologies
How to Apply
To find out more about this Data Analyst opportunity, please apply with your CV for a confidential discussion.