Senior Analytics Business Partner Operations

Senior Analytics Business Partner Operations

Rivington Road, Whitehouse Industrial Estate, Runcorn, Cheshire, WA7 3DJ

This vacancy is now closed

Ref 43855 County Cheshire Branch name Rivington Road, Whitehouse Industrial Estate, Runcorn, Cheshire, WA7 3DJ Salary Competitive Closing date 31/05/2025 Contract type Employee - Permanent Description

Job TitleSenior Analytics Business Partner (Operations)

Duration:Permanent

Package: Competitive Salary + bonus

Location: Runcorn

About Phoenix Data, Analytics and Insight Team:

This is a transformative and exciting time to be part of the Phoenix Data, Analytics & Insight (DA&I) team. We are embarking on a bold journey to reimagine how data is used across the business - from laying strong modern data foundations to unlocking powerful insights and shaping AI-driven innovations that will help to support our ambitious growth plans.

We're building a high-performing, forward-thinking team with a fresh structure, modern cloud-based technologies like Microsoft Fabric, and a clear focus on delivering business impact. Whether you're passionate about data engineering, business intelligence, analytics, or automation, you'll be joining a team where your ideas will shape the future of healthcare logistics and pharmacy services in the UK.

You'll be empowered to make a real difference, working on meaningful projects that improve decision-making, drive efficiency, and help our colleagues and customers thrive.

About the Role:

As Senior Analytics Business Partner (Operations), you will play a critical role in enabling data-driven decision-making across our Supply Chain and Logistics functions, delivering actionable insights that enhance efficiency, reduce costs, and improve service levels.

In this role, you will focus on analysing operational performance, uncovering improvement opportunities, and providing strategic recommendations that drive measurable impact across our end-to-end supply chain.

You'll bring deep analytical expertise, experience working with complex, high-volume datasets, and a strong ability to translate data into clear, compelling insights for senior stakeholders.

Success in this role requires strong commercial awareness, excellent stakeholder engagement, and the ability to work cross-functionally in a fast-paced, dynamic environment.

Key Responsibilities:

• Build strong, trusted relationships with key stakeholders by delivering insights and recommendations that drive improvements in commercial, operational, and financial performance.
• Proactively communicate key performance drivers and trends to stakeholders and senior leadership, enabling informed, strategic decision-making.
• Lead complex, ad hoc performance analyses to uncover root causes of business challenges and identify actionable opportunities for growth and optimisation.
• Develop predictive and forward-looking insights to support strategic planning and enhance the performance of our supply chain operations.
• Apply critical thinking to solve complex data challenges, assess data quality, integrate new data sources, and provide clear, evidence-based recommendations.
• Lead technically demanding analytics projects, including modelling, demand forecasting, and advanced analytics to enable data-driven decision-making across our operations.
• Use creative problem-solving to identify and deliver innovative analytical initiatives, leveraging both existing and emerging data sources.
• Collaborate with internal and external stakeholders to ensure analytics initiatives are aligned with broader business strategies and priorities.

What We're Looking For:

• Proven experience in business partnering within a fast-paced environment, ideally supporting supply chain, logistics or operational teams.
• Strong analytical and problem-solving skills, with hands-on expertise in Python, PySpark, and SQL for data analysis and transformation.
• Proficient in building compelling visualisations and dashboards using Power BI and experience working within the Microsoft Fabric ecosystem.
• Demonstrated ability to work with large, complex datasets to extract meaningful insights, identify trends, and inform business decisions.
• Self-motivated and capable of working independently, managing priorities, and delivering high-quality outcomes with minimal supervision.
• Excellent communication and storytelling skills, with the ability to translate data into clear, actionable recommendations for senior stakeholders

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