Data Analyst

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Company NameWork Force Nexus
Company TypePrivate
Job TypeFull-Time
Salary RangeMarket Competitive
LocationPreston, England, United Kingdom
QualificationsNone / No Formal Education
ExperienceNo Experience / Fresh

Job Overview

Work Force Nexus is seeking an Entry Level Data Analyst to join their team in Preston, England, United Kingdom. This role involves working with AI-powered sourcing technology and data to help organizations hire faster and smarter, contributing to efficient global talent acquisition.

Company Overview

Work Force Nexus (WFN) is a next-generation recruitment and workforce solutions company built to help organizations hire faster, smarter, and more efficiently in an increasingly competitive global talent market. We combine AI-powered sourcing technology, structured recruitment processes, and experienced human recruiters to deliver high-quality talent across technical and non-technical domains, while significantly reducing time-to-hire and operational hiring costs. Founded with the mission to bridge the gap between businesses and skilled professionals, Work Force Nexus operates at the intersection of technology, recruitment expertise, and scalable delivery models. Our primary service is helping organizations hire top talent quickly and reliably, supporting companies across Information Technology, Engineering & Product, Cloud & Data, Operations & Support, BFSI, Manufacturing, E-commerce, and more. Using AI-driven talent discovery tools, automated screening workflows, and recruiter-led validation, we are able to match job requirements with relevant candidate profiles faster, rank candidates based on skill alignment and experience, reduce manual screening effort, improve shortlist accuracy, and deliver profiles in as little as 5 days for most roles. Every candidate shared by Work Force Nexus is reviewed by experienced recruiters, validated through screening calls, checked for technical and role fit, and evaluated for communication and cultural alignment. This AI + human expertise model ensures both speed and hiring quality. We support multiple hiring models including Permanent hiring, Contract staffing, Executive search, Bulk hiring, Recruitment Process Outsourcing (RPO), Offshore and global hiring. Our clients range from early-stage startups to mid-size technology companies and enterprise organizations operating across India, the UK, the Middle East, and global markets.

Quick Details

  • Salary Range: Market Competitive
  • Job Type: Full-time
  • Qualifications: None / Open to all applicants
  • Experience: No Experience / Fresh

Key Responsibilities

  • Assist in collecting, cleaning, and analyzing large datasets from various sources.
  • Support the development and maintenance of data dashboards and reports.
  • Collaborate with recruitment teams to identify data-driven insights and trends.
  • Help optimize recruitment processes and talent discovery using data analysis.
  • Learn and apply AI-powered data tools for effective talent sourcing and matching.
  • Ensure data accuracy and integrity in all analytical tasks.

Requirements

  • Bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, or a related quantitative discipline, or equivalent practical experience.
  • Strong analytical and problem-solving skills with attention to detail.
  • Familiarity with data analysis tools and software (e.g., Excel, SQL, Python/R).
  • Excellent communication and interpersonal skills for team collaboration.
  • Ability to learn new technologies and adapt to a fast-paced, dynamic environment.
  • Proactive attitude with a strong desire to develop a career in data analysis.

Benefits

  • Opportunity to work with cutting-edge AI-powered recruitment technology.
  • Significant professional growth and development opportunities within a growing global company.
  • Collaborative and supportive team environment that values innovation.
  • Exposure to diverse industries and global talent markets.
  • Competitive salary and benefits package.
  • Make a tangible impact on organizations’ hiring strategies and efficiency.

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