Lead Data Analyst

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.

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