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Operations Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Adecco
Full Time position Listed on 2026-11-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, IT Business Analyst, AI Business & Operations
  • Business
    Data Analyst, Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 25.48 GBP Hourly GBP 25.48 HOUR

Job Description & How to Apply Below

Job Description:

Supply Chain Process & Operations Analyst Position Type:
Contract Salary: £25.48 per hour

Location:

Hybrid / Remote (as per client guidelines) Duration: 6 months (Potential for extension)

Role Overview

We are seeking a proactive Supply Chain Process & Operations Analyst to join a global technology enterprise’s IT Supply Chain organization. This role operates at the intersection of operations, compliance, data analytics, and process optimization.

The ideal candidate will manage end-to-end IT asset workflows (from procurement through to end-of-life reconciliation), maintain data integrity across systems, and proactively identify opportunities for process improvement, automation, and AI-driven workflow optimization.

Key Responsibilities 1. Process Mapping & Continuous Improvement (50%)
  • Process Mapping & SOP Creation: Engage with cross-functional stakeholders to map operational workflows, design flowcharts/diagrams (e.g., Visio), and draft Standard Operating Procedures (SOPs), work instructions, and documentation from scratch.
  • Process Automation & AI Integration: Identify manual process bottlenecks and leverage AI tools and automation techniques to streamline repetitive operational tasks ("agentification").
  • Documentation Lifecycle: Gather technical specifications and operational requirements from Subject Matter Experts (SMEs); lead review cycles for new and existing documentation.
2. Operations & Ticket Management (30%)
  • Device Returns Program: Oversee and enhance employee return processes for unused IT hardware assets.
  • End-of-Life (EOL) Reconciliation: Standardize EOL hardware device processing, disposal/resale compliance, and legacy data clean-up.
  • Operational Ticketing: Manage day-to-day regional IT supply chain tickets and support cross-functional (XFN) ad-hoc operational requests.
3. Data Analytics & Reporting (20%)
  • Data Integration & Metrics: Analyse IT asset datasets across multiple sources, combine data, identify key operational metrics, and interpret trends.
  • Audit & Compliance Support: Assist in maintaining compliance standards for enterprise warehouse operations and internal/external audits (e.g., Deloitte, PwC).
  • Reporting: Prepare weekly performance reports, metrics dashboards, and graphical summaries for leadership.
Key Performance Metrics
  • Months 1–3: Successfully map core end-to-end workflows and pinpoint key operational gaps.
  • Months 4–6: Formulate actionable process improvement recommendations and system enhancement proposals.
  • Ongoing Execution: Maintain momentum on projects, adopt emerging internal AI tools, and solve non-binary, fast-paced operational challenges.
Candidate Requirements Must-Have

Qualifications & Skills
  • Logistics & Supply Chain Background: Practical understanding of warehouse operations, IT asset management (ITAM), and supply chain workflows.
  • SOP Creation & Process Design: Proven capability to map workflows visually and write comprehensive SOPs, guidelines, and technical manuals from scratch.
  • Data Analytics & Metric Identification: Ability to clean, combine, and statistically analyse data to track workflow efficiency and present findings clearly.
Nice-to-Have Skills
  • Experience: Relevant experience in a Business Analyst, Logistics Analyst, or Operations Analyst role within tech or e-commerce environments.
  • Tooling: Proficiency with flowcharts/diagramming tools (e.g., Microsoft Visio), cloud productivity suites (Google Workspace / MS Office), and enterprise data/ticketing applications.
  • Problem-Solving: Strong aptitude for problem-solving, structured thinking, and working autonomously in ambiguous, dynamic environments.
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