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⚡ Source: ReedRef: 56795580

BI Business Analyst

Loom Talent Limited·Lutterworth·Posted 2 weeks ago
💰 34-36k GBP/year
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Job description

Original text imported from Reed

About the job

Role: BI Business Analyst - 3PL Contract Logistics.

Company: Leading Global 3PL Contract Logistics Provider.

Location: Lutterworth, Leicestershire (LE17).

Salary & Benefits: £34,000 - £36,000 + Holidays & Package.

Shift Pattern: The role works to a Daytime Shift Patter,


The Company

Loom Talent are proud to have been exclusively appointed to lead the hiring strategy for a new site start up in Lutterworth.

Our client, a leading global 3PL contract logistics provider are actively needing to source a full leadership and management structure for a prestigious existing customer.

Searching for a skilled and driven BI Business Analyst to join their UK team. In this role, you will work closely with the BI Manager and wider BI team to develop, maintain, and continuously improve reporting tools used across multiple sites.

You will play a key role in translating operational requirements into data-driven solutions, supporting warehouse performance, and ensuring high-quality reporting that enables effective decision-making in a timely fashion with a go-live fast approaching.

Operating within a dedicated customer facility in excess of 600,000 sq. ft. working to a site wide rotating shift pattern AM & Nights 4 on 4 off, with a projected headcount of 1,000 in peak periods.


The Role

The BI Business Analyst role will play a critical role in designing, maintaining and leading all site based activity across what will be a key UK DC operation.

This position is a truly exciting opportunity for an experienced Business Analyst professional to be at the forefront of a rapidly expanding organisation.

Key Responsibilities:

Leadership & Team Responsibilities
  • Foster a positive, high-performing team environment through coaching and feedback
  • Support team development, training, and performance management
  • Promote safe working practices and ensure compliance with health & safety standards
  • Encourage innovation, collaboration, and continuous improvement

The Candidate

The successful candidate for the BI Business Analyst opportunity will have the following skills and experiences:

  • A Logistics Distribution and Supply Chain Background - Essential
  • Advanced knowledge of Tableau - Essential
  • Experience with Warehouse Management systems (e.g. PKMS, JDA, RedPrairie, Blue Yonder, or similar)
  • Strong analytical and problem-solving skills - Essential
  • Excellent communication skills (written and verbal) - Essential
  • Ability to "tell a story" with data and present insights clearly - Essential
  • High attention to detail and accuracy - Essential
  • Ability to prioritise workload and work flexibly across multiple systems - Essential
  • Experience working independently and as part of a team - Essential
  • Team leadership or supervisory experience (or working towards a recognised qualification) - Advantageous.
  • Ability to work in a fast-paced, deadline-driven environment - Essential.
  • Proven 3PL Warehousing experience required -Advantageous.
  • Exposure to a successful & sizeable start up operations - Advantageous.
  • An individual truly excited by large scale growth challenges - Essential.
  • Commutable to Lutterworth area 5 x days per week - Essential.


The Package

  • Salary - £34,000 to £36,000.
  • Company Holidays.
  • Matched Pension Contributions.
  • Plus, additional company benefits.


SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
Logistics Distribution backgroundAdvanced Tableau knowledgeWarehouse Management SystemsAnalytical skillsProblem-solving skillsCommunication skillsData storytellingAttention to detailMulti-system prioritisation
Nice-to-have
Team leadership experience3PL warehousing experiencePKMSJDARedPrairieBlue Yonder
Soft skills
CommunicationProblem solvingAttention to detailTeam leadershipAnalytical thinkingFlexibilityCollaboration
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your Tableau expertise prominently as this is marked as essential and specifically mentioned multiple times

2

📊 Quantify your 3PL experience: "Managed reporting for 500,000 sq ft warehouse with 800+ staff across 4 shifts"

3

🌐 Emphasise your WMS experience with specific systems like PKMS, JDA, or Blue Yonder as these are explicitly required

4

🎯 Showcase your data storytelling abilities with examples of how you've translated complex data into actionable insights

5

🤝 Include any team leadership or supervisory experience as this is noted as advantageous for career progression

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AI SpeedCV

Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Developed 15 Tableau dashboards tracking warehouse KPIs across 3 shifts, reducing reporting time from 4 hours to 30 minutes daily
  • Implemented WMS reporting solutions using Blue Yonder and PKMS, improving inventory accuracy by 12% across 450,000 sq ft facility
  • Led data storytelling initiatives for senior management, translating complex logistics metrics into actionable insights for 800-person operation

Free to copy — tailoring requires a 30-sec CV upload.

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AI cover letter

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Letter preview — tailored to Loom Talent Limited

Dear Hiring Manager,

Loom Talent's BI Business Analyst opportunity at your Lutterworth facility represents exactly the kind of strategic 3PL challenge I want to tackle next. My advanced Tableau expertise and logistics distribution background align perfectly with your need to establish reporting infrastructure for a 600,000 sq ft operation supporting 1,000 peak staff.

My background in warehouse management systems and data-driven performance analysis has prepared me to translate operational requirements into actionable business intelligence solutions that drive decision-making in fast-paced environments.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you approach building a Tableau dashboard to track warehouse KPIs across multiple shifts?
  • Describe your experience with warehouse management systems like PKMS or Blue Yonder
  • How do you ensure data accuracy when pulling reports from multiple WMS sources?
  • What metrics would you prioritise for a 600,000 sq ft 3PL operation?
  • How would you handle real-time reporting requirements in a fast-paced logistics environment?

Behavioural

  • Tell me about a time you had to translate complex operational requirements into a data solution
  • Describe a situation where you had to present data insights to senior management under tight deadlines
  • Give an example of how you've improved warehouse performance through your reporting
  • Tell me about a time you had to work independently on a critical BI project
  • Describe how you've handled competing priorities in a fast-paced environment
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to translate complex operational requirements into a data solution

When our warehouse expanded to 24/7 operations, management needed real-time visibility of pick rates across all three shifts. The challenge was that our legacy WMS only provided end-of-day reports, leaving night shift performance invisible until the following afternoon. I worked with shift supervisors to identify the key metrics they needed and built a Tableau dashboard pulling live data every 15 minutes. The solution showed pick rates, error percentages, and staffing levels by hour and shift. Within two weeks, we identified that night shift productivity dropped 18% after midnight due to lighting issues, leading to facility improvements that boosted overall efficiency by 8%.
2Question

Describe a situation where you had to present data insights to senior management under tight deadlines

During peak season, our client threatened contract review due to perceived performance issues. I had 48 hours to prepare a comprehensive analysis for the board meeting. I pulled data from our WMS covering the previous 90 days and created visualisations showing our actual performance versus contract KPIs. The data revealed we were meeting 94% of targets, but the client was only seeing the 6% exceptions. I presented clear charts showing our 99.2% accuracy rate and 97% on-time delivery, with specific examples of how we'd handled their most challenging requirements. The presentation not only saved the £2.4M contract but led to a 12-month extension with improved terms.

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