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Job Title Senior Analytics Business Partner (B2C)
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 (B2C), you will play a pivotal role in driving insight-led decision-making across our customer-facing operations, including Rowlands, Numark, and other B2C channels.
In this role, you’ll focus on analysing business performance, uncovering opportunities for growth, and delivering strategic, data-driven recommendations that influence key commercial and operational outcomes.
You’ll bring strong analytical expertise, proven experience working with large and complex datasets, and the ability to translate insight into compelling narratives for senior stakeholders.
Success in this role requires a proactive mindset, excellent communication skills, and the ability to thrive in a fast-paced, cross-functional environment—partnering closely with teams across multiple business units.
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 retail and customer-facing 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, customer segmentation, and advanced analytics to enable data-driven decision-making across our customer facing 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 retail or customer-facing 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
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst
* Industries
Pharmaceutical Manufacturing
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