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

Apply Now

Lead Data Analyst

PayPoint plc.
Liverpool
1 month ago
Create job alert

Office location: Liverpool city centre (L3)

Who We Are

Welcome to Love2shop! We’re a vibrant company that helps people celebrate life’s special moments—at home, work, play, and anywhere else. How do we do it? By offering a fantastic range of gift cards and vouchers that open the door to hundreds of top high street brands and retailers.

We’re big in both consumer and business markets, with over 60% of the UK recognizing our brand. That’s a lot of people loving what we do!

With 55+ years under our belt, we know our stuff. But we’re not just about the past—we’re forward-thinking and progressive. We recently joined the PayPoint family, and we’ve got some exciting developments on the horizon.

As a disability-confident committed company, we’re all about championing equality. We welcome everyone—regardless of disability, age, race, religion, gender identity, or sexual orientation. Everyone gets a shot at success here at Love2shop.

Join Us!

We’re on the lookout for a Lead Data Analyst to join us at Love2shop. This role is the perfect fit for someone who likes managing/developing a team but likes to stay 'hands-on' by delivering actionable insight for multiple Love2shop B2C and B2B brands.

This is a crucial role for the business; you will lead the build of a fully automated suite of reports to bring insights to the business and support decision-making, identify improvement opportunities with existing processes to get them fully automated and system-driven.

Not only that, work closely with the business and BI teams to gather requirements for data improvements, and deliver self-service reporting to reduce manual inputs and errors, and drive greater visibility of the data and trends.

Main Responsibilities

  • Set customer segmentation, analyze and report on customer behaviors and provide an understanding of customer acquisition, retention, and lifetime value to help form strategic sales, marketing, channel, and product plans.
  • Build reporting and set relevant KPIs to the appropriate business areas for Commercial Finance.
  • Work closely with Marketing and Digital Marketing to produce reporting to give visibility of customer trends across their lifecycle and across all customer touchpoints, to show positive and negative trends of acquisition and retention of customers, and to analyze marketing effectiveness.
  • Own the customer, using insights to form customer profiles to aid internal departments plan their strategy and activity.
  • Gather retailer and customer insights to inform marketing promotional and strategic opportunities with retailers.
  • Proactively have frequent contact with stakeholders to provide actionable insight around marketing channels, customer and business performance, and market trends along with response to ad hoc requests.
  • Oversee and deliver end-to-end machine learning models to give greater insights and better data, with actionable reporting.
  • Track the impact of marketing campaigns, policy changes, and other customer actions to allow for better future decision-making.

Essential Skills Required

  • Ability to investigate, interpret and translate data into actionable insight.
  • Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting.
  • Expert of data manipulation and programming in SQL.
  • Expert of Data Visualization tools such as Power BI, Tableau, etc.
  • Experience in marketing campaign analysis.
  • Can demonstrate commercial awareness with an understanding of the retail environment.
  • Team player with proven leadership skills.
  • Excellent presentation skills.

Desirable but Not Essential

  • Understanding of ETL processes.
  • Ability to understand, create and use efficient data models.
  • Knowledge of best practices within SQL, to create efficient code, stored procedures, and views.
  • Good knowledge of Python, and the ability to implement Machine Learning and data science techniques.
  • Experience with Microsoft Fabric.

Ready to join the fun? If you're interested in a permanent role & hybrid working, apply now and join a talented group of people who love what they do.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst | Commodities & Energy Trading - Front office | Up to £115k + Bonus, Benefits | Hybrid LDN

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.

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.