Data Analyst (Remote UK) Entry Level

CV-BRIDGE LTD; Greater London; À distance; GBP 35 000 - 40 000; Plein temps

Avantages offerts par ce poste

Remote working

Onboarding training

Career development

Supportive environment

Résumé du poste

CV-BRIDGE LTD in London is seeking a detail-oriented Data Analyst to support data-driven decision-making for a UK-based remote team. This entry-level role offers practical experience in data analysis, reporting and BI, working with datasets to identify trends and deliver insights.

You will prepare reports and dashboards, ensure data quality, and work with SQL and visualization tools. The role is full-time, remote, and ideal for developing practical analytics skills.

Qualifications

• Strong analytical and problem-solving skills.
• Good attention to detail and accuracy.
• Comfortable working with spreadsheets and structured datasets.
• Basic knowledge of SQL, data visualization or analytical tools is helpful.
• Good numerical and logical reasoning skills.
• Ability to organize tasks and work to deadlines.
• Comfortable working independently in a remote environment.
• Previous professional data-analysis experience is not essential for this entry-level role.
• Willingness to learn new analytical tools, systems and processes.

Responsabilités

• Collect, organize and analyze data from multiple sources.
• Prepare regular reports, dashboards and data summaries.
• Identify trends, patterns and inconsistencies within datasets.
• Support internal teams with accurate data and analytical insights.
• Clean and validate data to maintain accuracy and reliability.
• Use spreadsheets, SQL or similar analytical tools to work with structured data.
• Assist with performance tracking and business reporting.
• Maintain clear documentation for reports and analytical processes.
• Support wider data and reporting projects as required.

Connaissances

Analytical thinking

Attention to detail

Numerical reasoning

Problem solving

Outils

SQL

Data visualization

Description du poste

We are looking for a detail-oriented and analytical Data Analyst to support data-driven decision-making across a UK-based team.

This is a remote, entry-level opportunity suitable for candidates looking to build practical experience in data analysis, reporting and business intelligence. You will work with datasets, identify trends, prepare reports and help transform data into clear and useful insights for internal teams.

Job Snapshot

Job Functions: Information Technology | Research | Engineering

Category: IT

Location: London, England, United Kingdom

Workplace: Remote

Job Type: Permanent

Employment: Full-Time

Experience: Entry Level

Key Responsibilities

• Collect, organize and analyze data from multiple sources.
• Prepare regular reports, dashboards and data summaries.
• Identify trends, patterns and inconsistencies within datasets.
• Support internal teams with accurate data and analytical insights.
• Clean and validate data to maintain accuracy and reliability.
• Use spreadsheets, SQL or similar analytical tools to work with structured data.
• Assist with performance tracking and business reporting.
• Maintain clear documentation for reports and analytical processes.
• Support wider data and reporting projects as required.

Requirements

• Strong analytical and problem-solving skills.
• Good attention to detail and accuracy.
• Comfortable working with spreadsheets and structured datasets.
• Basic knowledge of SQL, data visualization or analytical tools is helpful.
• Good numerical and logical reasoning skills.
• Ability to organize tasks and work to deadlines.
• Comfortable working independently in a remote environment.
• Previous professional data‑analysis experience is not essential for this entry-level role.
• Willingness to learn new analytical tools, systems and processes.

What We Offer

• Competitive salary of £35,001–£40,001 per annum.
• Remote working arrangement.
• Structured onboarding and role-specific training.
• Opportunity to develop practical data analysis and reporting experience.
• Career development and progression opportunities.
• Supportive and professional working environment.