Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Digital Trading Manager

PHOENIX Healthcare Distribution Limited
Runcorn
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Data Analyst

Senior Data Engineer, Data Platform - Macquarie Group

Data Analyst III

Data Analyst III

Data Engineer, Data Platform

Description

Digital Trading Manager

Runcorn

hours, working Monday to Friday

£Negotiable depending upon experience

As the Digital Trading Manager, your role will focus on delivering data-driven insights with a strong emphasis on product performance and revenue growth. You will be the go-to expert for web and app data collection, tracking metrics, and providing actionable analysis to support Phoenix UK's digital expansion across both B2B and B2C channels.

Your responsibilities will include using key data tools to analyze insights, driving business growth through optimized reporting and data-backed recommendations. You will focus on identifying opportunities within the data to support strategic decision-making and enhance overall will work closely with the Head of Digital and other stakeholders to enable commercial success across digital platforms. Additionally, you'll play a key role in building a pipeline of digital improvements to enhance the overall customer experience and business performance

The heart of the role

Own the Digital Dashboard to deliver commercially focused data and insights. Act as an expert in web, app, and digital marketing data collection. Collaborate with Digital, Finance, and Data Analytics teams to ensure the day-to-day management of the digital dashboard. Collaborating with stakeholders to understand goals, identify opportunities, and support roadmaps through data-driven recommendations. Using analytical techniques to unearth insights and recommendations for various digital challenges. Delivering regular analysis and reporting to the Head of Digital to understand product performance and revenue generation. Work with product owners and digital delivery teams to create a pipeline of improvements across our portfolio of Digital products. Focus on the commercial impact by quantifying the value of insights to prioritise digital efforts that deliver significant ROI and business outcomes. Working with the Data Analytics team to automate reports and dashboards to improve data accessibility for digital products and encourage data-informed decision-making across the business.

What makes you tick

Experience working in a role with Ecommerce / Retail data for both B2B and B2C Experience with visualisation tools such as Power BI / Looker Experience working in a similar Data Analyst role with Ecommerce / Retail data. GA4 and GTM experience Experience with visualisation tools such as Power BI / Looker Experience with BigQuery/SQL Ability to work with large data sets, writing accurate code and identifying insights

Our benefits

25 days (pro rata) paid annual leave plus bank holidays, rising with length of service Medicash- a health cash program to assist with day-to-day healthcare costs, such as eyecare or prescriptions iTrent Financial Wellbeing - a financial wellbeing application which allows for flexible control of your finances Access to High Street discounts Employee Assistance Programme Contributory Pension Scheme Accredited Training Programmes available (Education paid for by the company via the Apprenticeship Scheme)

We reserve the right to close this vacancy early if sufficient applications are received

INDPMS

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.