Senior Business Analyst - Data

Infinite Talent; Woking; Hybrid; GBP 82,656,000 - 110,208,000; Full time

Job summary

Infinite Talent in London is seeking a Senior Business Analyst focused on AI, data, and digital logistics to drive transformation across a global 3PL operation. You will bridge business needs with data analytics, AI/ML, and automation to modernize complex supply chains.

You will work on client portal integrations, data pipelines, and KPI dashboards, collaborating with data engineers and stakeholders to deliver impactful digital initiatives.

Qualifications

• Experience in 3PL/logistics or regulated environments is required.
• Hands-on exposure to Databricks, Power BI, and external-facing B2B portals.
• Experience with B2B/B2C client integration middleware (Axway is highly desirable).
• Proven background implementing AI, automation, or data analytics solutions in live environments using Jira, Azure DevOps and Confluence.

Responsibilities

• Data-Driven AI and Digital Innovation: Champion AI/ML, RPA, and process mining across operational programs; define data pipelines for AI/ML models and oversee PoCs.
• Business Analysis and Data Modeling: Elicit requirements, perform root-cause analyses, and translate needs into user stories and data models for Agile teams.
• Client Integration and Portal Optimization: Drive integration of external-facing client portals and ensure robust middleware connections across supply networks.
• Analytics and Stakeholder Management: Design Power BI/Tableau dashboards for leadership and act as liaison between business owners and technical teams.

Skills

Databricks

Power BI

Axway

Jira

Azure DevOps

Confluence

AI/ML

RPA

Process mining

Data pipelines

Data modeling

Agile delivery

Tools

Databricks

Power BI

Axway

Jira

Azure DevOps

Confluence

Tableau

Job description

Job Description

Role:

Senior Business Analyst - AI, Data and Digital Logistics

Location:

London, Hybrid

Package:

Up to £70,000 + Car Allowance + Bonus + Benefits

The Opportunity

Positioned at the intersection of logistics operations, technology, and AI, you will act as a true catalyst for change across a leading global 3PL enterprise. Moving beyond traditional BA duties, you will sit at the core of Client Integration, Portal Development, and Data Analytics. You'll identify automation opportunities, harness predictive analytics, and design AI-augmented workflows to modernize complex, data-intensive supply chains.

Key Responsibilities

• Data-Driven AI and Digital Innovation: Champion AI/ML, RPA, and process mining across operational programs. Collaborate directly with data engineering teams to define data pipelines for AI/ML models, design augmented workflows, oversee PoCs, and drive low-code self-service tooling (Power Platform).
• Business Analysis and Data Modeling: Elicit requirements, conduct root-cause analyses, and translate complex operational needs into user stories, technical specifications, and structured data models for Agile delivery teams.
• Client Integration and Portal Optimization: Drive the integration of external-facing B2B and B2C client portals, ensuring seamless data visibility and robust middleware connections across complex supply chain networks.
• Analytics and Stakeholder Management: Design actionable Power BI and Tableau dashboards for senior leadership, build compelling business cases for digital initiatives, and act as the primary liaison between commercial business owners and technical teams.

What You Bring

• Supply Chain and Regulated Expertise: Strong operational experience within 3PL, logistics, or highly regulated environments (pharmaceutical experience is a major plus).
• Data and Integration Capabilities: Hands-on exposure to Databricks, Power BI, and external-facing B2B portals. Experience with B2B/B2C client integration middleware (Axway experience is highly desirable).
• Agile and Digital Track Record: Proven background in implementing AI, automation, or data analytics solutions in live environments using modern Agile tools (Jira, Azure DevOps, Confluence).

£60000.00 - £80000.00 / hr