Role Overview – Loop Recruitment is hiring a Data Analyst for a full-time, on-site position based in Manchester. This position is ideal for accomplished data and analytics professionals with strong data analysis and analytics expertise, recruitment and human resources industry knowledge, and the ability to manage analytics functions effectively, analyze recruitment data, support decision-making, develop insights, ensure data quality, and contribute to organizational success within a dynamic recruitment and staffing services organization.

Data Analytics Operations – You will support data analytics operations by coordinating processes, organizing activities, maintaining systems, and supporting efficiency. You will help facilitate smooth analytics and recruitment operations. You should support analytics functions.

Recruitment Data Analysis – You will analyze recruitment data by examining metrics, identifying patterns, calculating statistics, developing insights, and supporting decision-making. You will deliver actionable recruitment analytics. You should analyze recruitment information.

Recruitment Metrics and Performance Analysis – You will analyze recruitment metrics by tracking performance, calculating statistics, measuring effectiveness, and providing insights. You will understand recruitment performance. You should analyze recruitment metrics.

Hiring Pipeline Analysis – You will analyze hiring pipelines by examining stages, tracking progress, identifying bottlenecks, and supporting optimization. You will measure recruitment pipeline. You should analyze hiring progress.

Candidate and Applicant Tracking – You will track candidates by monitoring progress, analyzing patterns, identifying trends, and supporting decision-making. You will understand candidate flow. You should track candidate data.

Recruitment Funnel Analysis – You will analyze recruitment funnels by examining stages, measuring conversion, identifying drop-offs, and supporting optimization. You will understand recruitment progression. You should analyze funnel performance.

Time-to-Hire and Recruitment Speed Metrics – You will analyze recruitment speed by measuring timelines, tracking metrics, identifying trends, and supporting improvement. You will measure hiring efficiency. You should analyze time metrics.

Employee and Placement Data Analysis – You will analyze placement data by examining outcomes, measuring success, identifying patterns, and providing insights. You will measure placement success. You should analyze placement metrics.

How to Apply:

Send your updated CV to ben@looprecruitment.co.uk. Please highlight your data analysis and analytics experience and professional capabilities, your database and query abilities, your data extraction and organization skills, your Excel and spreadsheet proficiency, your reporting and dashboard development abilities, your data visualization and presentation skills, your analytics tools and technology knowledge, your communication and professional abilities, your educational background and relevant analytics certifications, your ability to manage multiple analytical projects and priorities, your commitment to accuracy and attention to detail, your enthusiasm for data analytics and insight development, your problem-solving abilities regarding analytical challenges, your time management and productivity, your UK or Manchester analytics experience if applicable.

About the Company:

Loop Recruitment is a professional recruitment and staffing services organization operating in Manchester with a strong commitment to data excellence, analytical insight, and organizational success through effective data management and comprehensive analytics support. The company is seeking accomplished analytics professionals who bring proven data analytics expertise and professional competency, strong data analysis and recruitment analytics knowledge, demonstrated ability to support analytics functions and develop recruitment insights, excellent database and query capabilities, Excel and spreadsheet proficiency, reporting and dashboard development expertise, data visualization and communication skills, analytics tools and technology familiarity.