Marketing Loyalty Manager

Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

▷ Apply Now! Senior Manager, Loyalty Finance

Senior Product Manager (Payments) (Basé à London)

Client Experience Insight Manager

General Manager UK

Senior Product Manager

Remote Travel Business Development / Sales Coach - World #1 Franchise

Job Title: Marketing Loyalty Manager – Fashion Retail Management

Location: Cardiff

This position is office based, 5 days per week in central Cardiff. Please only apply for this role if you are happy to be office based.

Hours: Full time & permanent (39 hours per week)

Salary: Depending on Experience

An excellent opportunity has presented itself to join our client, as their Marketing Loyalty Manager. An industry leader in the fashion sector, we are actively recruiting for a Marketing Loyalty Manager to join the management team to rollout and continually manage a new loyalty scheme.

We are seeking an experienced Loyalty Manager to develop, launch and drive the day-to-day operations of the new rollout of the Loyalty Programme. This role would suit someone who has a good understanding of loyalty schemes, customer behaviour, and a proven track record of managing a large scale project.

Key Responsibilities & Objectives for the role

Drive Profitable Sales Growth through our Loyalty Scheme

  • Drive customer acquisition through online channels (website, social, in-store etc.)

  • Create & maintain a Loyalty Scheme activity plan that drives additional revenue

  • Analyse performance, customer data, and market trends to drive decisions and optimize revenue generating activity

  • Review ROI on all activity and provide regular stakeholder performance reports

    Great Experience for Our Customers

  • Use insight and feedback to continuously enhance the customer journey by identifying opportunities to improve engagement, retention and satisfaction through the loyalty programme

  • Manage rewards to ensure they align with customer expectations and values.

    Communication

  • Create and maintain a clear communication plan.

  • Respond to feedback, work cross functionally to highlight, agree & embed process improvements.

  • Continually challenge ways of working by gathering feedback from competitors, customer groups and retail team

    Technical/Compliance Support

  • Deal with administrative tasks such as payments, data security and data governance

  • Ensure all campaigns are legally compliant and on brand. Ensure the confidentiality, integrity and availability of information being held, accessed or processed

  • Monitor the health of the customer database to ensure the data being used across the business is accurate

    Key experiences

  • Experience in analysing high volume of figures relating to campaign performance and ROI.

  • CRM and customer loyalty/retention experience.

  • Strong understanding of consumer behaviour and loyalty programme best practices

  • Good stakeholder management and communication skills

  • Enjoy working within a fast-paced, ever-changing environment

  • Previous retail or online / Ecommerce experience desirable

    Specialist skills and experience

  • Experience with customer relationship management (CRM) systems & loyalty platforms

  • Excellent writing, editing and proofreading skills

  • Good interpersonal and relationship-building skills to work with all other departments

  • Confidence to influence and collaborate with senior leaders

  • Strong analytical skills with the ability to interpret complex data and translate it into actionable strategies

  • Excellent project management skills with a track record of managing multiple initiatives simultaneously

    If you feel these qualities describe you, then we would like to hear from you. Please only apply for the role if you are comfortable with the role outlined below.

    Please submit your career details to Andrew Bridges at PDA SEARCH & SELECTION LIMITED

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.