Data Analyst (Remote UK)

Overview

We are looking for a motivated and analytical Data Analyst to support data-driven decision-making and help turn business information into clear, actionable insights in a fully remote UK-based role.

This is an excellent entry-level opportunity for someone with strong analytical skills, attention to detail and an interest in working with data to support business performance and decision-making.

📌 Job Snapshot

• 📍 Location: United Kingdom, London

• 🏠 Workplace: Remote

• 💼 Job Type: Permanent

• ⏰ Employment: Full-time

• 🎯 Experience Level: Entry Level

• 💷 Salary: £35,000–£42,000 per annum

Key Responsibilities

• Collect, organise and analyse data from different business sources.

• Identify trends, patterns and meaningful insights within datasets.

• Prepare reports, summaries and data visualisations for stakeholders.

• Support teams with accurate data and analytical information.

• Monitor key business metrics and performance indicators.

• Help maintain data accuracy, consistency and quality.

• Assist with regular and ad-hoc reporting requirements.

• Work with colleagues to understand business and data requirements.

• Present analytical findings in a clear and understandable way.

• Support continuous improvements to reporting and data processes.

Requirements

• Strong analytical and problem-solving skills.

• Good numerical ability and attention to detail.

• Comfortable working with spreadsheets, reports and structured data.

• Strong written and verbal communication skills.

• Ability to interpret information and communicate findings clearly.

• Good organisational and time-management skills.

• Ability to manage multiple priorities effectively.

• Comfortable working independently in a remote environment.

• Previous data analysis experience, including academic or project-based work, is beneficial but not essential.

What We Offer

• Competitive salary of £35,000–£42,000 per annum.

• Fully remote working within the UK.

• Supportive and professional working environment.

• Training and professional development opportunities.

• Practical exposure to business data and analytics.

• Opportunity to develop analytical and reporting skills.

• Career development and progression opportunities.

How to Apply

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