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🇬🇧 United Kingdom Corridor 🛡️ Verified Employer Direct Placement

Business Intelligence Analyst

🏢 Maersk 📍 Manchester, England 💼 Subsidiary or Business Segment
Currency:
£26,563 - £36,000
£2,214 - £3,000 / mo
Verified Corporate Employer (Authorized Corporate Employer)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Manchester, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark

Position Overview & Specifications

Job Purpose
As an international business on a high-tech journey, we don’t just transport millions of tons of cargo. We’re leading a digital revolution in global trade, creating opportunities for millions of customers around the world through new technology, data science, and artificial intelligence.
To support our vision of becoming the Global Integrator, we are looking for a business intelligence analyst to be based in our LLP control tower team to help improve data led decision making and support local and global control tower teams in identifying and implementing more efficient customer centric solutions.

Key Responsibilities
  • Identify opportunities in the business for improved solution performance and BI
  • Work with internal and external stakeholders to develop insights into data
  • Create, test and support User Acceptance Testing of BI dashboards and reports
  • Provide seasonal forecasts to support local control tower operations and future development
  • Report on control tower performance and support continuous improvement activities
  • Recognise key trends, align to key events, provide insights and suggested actions
  • Performing scenario modelling to enable management to understand the impact of different business decisions
  • Review volumes and provide invaluable support during peak business periods to understand the impact on control tower operations, throughput, and capacity.
  • Understand the drivers behind performance changes, and how this impacts the service we offer.
  • Support the control tower teams to understand data provided and the impact this has on overall performance
  • Playing a part in ensuring that the right stock is delivered to the correct warehouse and pro-actively monitoring on an on-going basis
  • Support the operation and senior management with ad-hoc requests that support business growth.
What we are looking for:
A broad experience in supply chain management, business intelligence, visual analytics or data science and you are a confident user of front-end tools (e.g. Power BI). Experience in working with SQL, power apps, Databricks, Dataiku DSS, Python, R or similar is preferred.
  • Experience with Power BI (will consider others BI tools)
  • Advanced MS Office skills, in particular Excel
  • Commercially aware and analytical
  • Ability to present data/ information clearly and accurately
  • Good presentation skills, displaying clarity and confidence
  • The ability to maintain a structured workload amidst changing deadlines and multiple priorities
  • Ability to draw simple statements from large amounts of data
  • Demonstrate proactive attitude, with both the ability and confidence to work independently, whilst knowing when to escalate
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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
Maersk

Apply for this Position

Location: Manchester, England
Eligibility: Verified Employer Direct Placement
Schedule: Subsidiary or Business Segment
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