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For Companies At a Glance
- Tasks: Lead digital insights strategy and guide a team of analysts to optimise customer journeys.
- Company: Established UK services brand undergoing a major digital transformation.
- Benefits: Up to £80,000 salary, car allowance, bonus, and hybrid working.
- Why this job: Make a real impact on digital strategies for a major brand with rich data.
- Qualifications: Experience in analytics, digital insights, and strong communication skills.
- Other info: Collaborative culture with opportunities for professional growth and development.
The predicted salary is between 64000 - 96000 £ per year.
UP TO £80,000 + CAR ALLOWANCE + BONUS (UP TO 20%)
HYBRID – 3x A WEEK LONDON
Please note: you must have full UK right to work and be able to commute to both office locations three times per week.
ABOUT THE BUSINESS
This organisation is a long-established UK services brand undergoing a major digital transformation. With a strong presence across web and app channels, the business is investing heavily in analytics, modern data platforms, and digital product capability to improve customer experiences and drive commercial performance. The company operates large-scale digital customer journeys with significant traffic volumes, making data central to decision-making across product, marketing, operations, and service design.
THE TEAM
You’ll join the Data & Analytics function, which is structured into several specialist groups including:
- Digital & Customer Operations Analytics
- Tagging & Tracking
- Data Engineering
- Insights, BI & Visualisation
This role sits within a cross-functional environment that works agnostic of product, supporting insight generation across digital journeys, product performance, and customer behaviour. You’ll lead a small team of analysts focused on digital insight and optimisation, working closely with data science, engineering, and product teams. The culture is collaborative, technically strong, and commercially focused — ideal for someone who enjoys blending analytical depth with strategic influence.
THE ROLE
This position leads the insight agenda across digital channels, customer journeys, and product experiences. You’ll shape how data is used to inform decisions, guide digital strategy, and drive engagement and retention across web and app platforms. It’s a leadership-focused role that blends hands-on analytical direction with strategic ownership of digital insight.
Key responsibilities include:
- Leading insight generation for digital journeys, funnel performance, and product behaviour.
- Delivering prescriptive and predictive insights that influence product, commercial, and operational decisions.
- Developing forecasting models and deep-dive funnel analysis to understand conversion drivers.
- Segmenting mobile app users to identify patterns in usage, engagement, and retention.
- Supporting retention strategies through data-driven recommendations across push, email, and in-app activity.
- Collaborating with data science on predictive modelling (e.g., behavioural modelling, risk likelihood).
- Ensuring data quality and readiness in partnership with engineering and tagging teams.
- Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance.
TECHNICAL ENVIRONMENT
Tools: SQL, GA4, BigQuery
Languages: Python, R
Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation
No tagging responsibilities — handled by a specialist team
Leadership-first role, but with enough technical depth to guide high-quality analysis
SKILLS & EXPERIENCE REQUIRED
Essential:
- Experience in analytics, digital insights, or data science.
- Strong background in digital analytics, predictive modelling, or behavioural insights.
- Ability to translate complex analytical outputs into clear business recommendations.
- Experience managing or mentoring analysts.
- Comfortable working across app and web journeys, particularly around engagement and retention.
- Strong communication skills with the ability to influence stakeholders at multiple levels.
- High energy, proactive mindset, and the ability to bring momentum to projects.
Desirable:
- Experience with statistical modelling in Python or R.
- Knowledge of designing and evaluating A/B tests.
- Familiarity with customer segmentation, cohort analysis, and forecasting frameworks.
WHY APPLY?
- Shape the digital insights strategy for a major UK brand undergoing significant digital investment.
- Lead a capable team and work closely with high-performing analytics, engineering, and product groups.
- Work across large-scale digital journeys with rich behavioural data.
- Play a key role in informing product decisions, driving engagement, and improving customer experiences.
Digital Product insights Lead in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Product insights Lead in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your insights on digital analytics and how you've used data to drive decisions. This is your moment to shine and show them what you can bring to the table.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to their specific needs. Research their digital transformation efforts and come prepared with ideas on how you can contribute to their goals. It shows you're genuinely interested!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and being part of our exciting journey.
We think you need these skills to ace Digital Product insights Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Digital Product Insights Lead. Highlight your experience in analytics and digital insights, and don’t forget to mention any leadership roles you've had. We want to see how you can bring your unique skills to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about digital transformation and how your background aligns with our goals. Be sure to mention specific projects or achievements that demonstrate your analytical prowess and strategic thinking.
Showcase Your Technical Skills: Since this role involves a lot of data analysis, make sure to highlight your technical skills, especially in SQL, Python, or R. If you've worked with tools like GA4 or BigQuery, let us know! We love seeing candidates who are comfortable with the tech side of things.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your tailored CV and cover letter directly. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you’re well-versed in SQL, GA4, and BigQuery. Brush up on your Python and R skills too, as they’ll likely come up during the interview. Being able to discuss how you've used these tools in past roles will show that you're ready to hit the ground running.
✨Showcase Your Leadership Skills
Since this role involves leading a team of analysts, be prepared to share examples of how you've managed or mentored others. Highlight any experiences where you’ve guided a team through complex projects or helped them develop their skills.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like improving customer retention or analysing digital journeys. Think about your past experiences and be ready to explain your thought process and the outcomes of your actions.
✨Communicate Clearly and Confidently
You’ll need to influence stakeholders at various levels, so practice articulating complex analytical concepts in simple terms. Use examples from your experience to demonstrate how your insights have driven business decisions in the past.
