Associated British Ports
Analytics Manager
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The Role: Analytics Manager
Purpose
To lead, develop, and inspire a multi‑disciplinary team of analysts and data scientists to deliver high‑quality analytics and advanced data science solutions.
The role exists to champion the creation of robust, explainable, and scalable models and insights that support evidence‑based decision making across the organisation. By converting complex data into clear, actionable intelligence, the Analytics Manager ensures the business is equipped to anticipate trends, optimise performance, and deliver measurable strategic value.
Accountabilities
- Work collaboratively with senior stakeholders across the business to define analytical requirements, set priorities, and translate complex findings into clear, well-structured recommendations.
- Oversee the development of predictive, prescriptive, and machine learning models (including CNNs, computer vision, and advanced statistical methods), translating business challenges into structured analytical delivery plans.
- Ensure analytical solutions are robust, validated, well documented, and aligned to business needs across the full model lifecycle, from hypothesis through to deployment and monitoring.
- Ensure insights, dashboards, and models are accurate, timely, and clearly communicated to technical and non-technical audiences, and drive adoption of self-service analytics tools across the business.
- Ensure analytics products and models comply with ABP’s data governance, data quality, and metadata standards as set by the Data Governance function, maintaining appropriate documentation of assumptions, limitations, and monitoring requirements.
- Ensure compliance with security, regulatory, and ethical AI standards across all analytical outputs, including model transparency and auditability.
- Shape the analytics roadmap in support of ABP’s wider data strategy, identifying opportunities to automate processes, optimise performance, and introduce new analytical techniques or toolsets.
- Evaluate emerging analytics technologies and methods, including generative AI and large language models, ensuring the analytics team remains modern and future ready.
- Build strong relationships with business stakeholders to ensure effective adoption of analytical products and measurable outcomes.
- Balance delivery of quick-win insights with longer-term data science initiatives, in line with agreed team priorities.
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About You
You will have proven experience leading and developing a multi-disciplinary analytics/data science team, with strong coaching, mentoring, and prioritisation skills with agile ways of working in a complex enterprise environment. Your strengths will lie in your ability to lead, coach and mentor a multi-disciplinary team of analysts and data scientists, establishing best practice in analysis, data quality, and insight communication, and fostering a culture of innovation and continuous learning.
Skills, Experience & Qualifications
Essential
- Proven experience leading and developing a multi-disciplinary analytics/data science team, with strong coaching, mentoring, and prioritisation skills with agile ways of working in a complex enterprise environment.
- Strong ability to translate complex analytical findings into clear, actionable insights and recommendations for both technical and non-technical audiences, including senior stakeholders.
- Practical experience delivering predictive, prescriptive, and machine learning solutions end-to-end, from hypothesis and data exploration through to deployment, monitoring, and realised business value.
- Working knowledge of data governance, lineage, metadata, and analytical assurance principles, with the ability to ensure analytics products comply with ABP’s governance and data quality standards.
- Experience ensuring compliance with regulatory, security, and ethical AI standards, including model transparency and auditability.
- Practical experience with modern cloud analytics platforms (e.g. Azure Synapse, Microsoft Fabric, Databricks, Snowflake) or comparable enterprise-scale tooling.
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Ideal
- 2 years’ experience in change management or project management role.
We Offer
- We offer a competitive salary, contributory pension from day one (Starting at 3% employee contribution with 5% company match), private healthcare, access to our Employee Assistance Program, wide range of discounts and cash back with high street and online retailers. We offer an inclusive work environment with an in-house training academy which offers ongoing opportunities to develop your skills.
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