Digital Analytics Lead - CRM
Listed on 2026-09-01
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IT/Tech
CRM Systems & Management, Data Analyst
We’re not just another bike brand - we're an iconic, British motorcycle brand with over 120 years of history behind us. Our new state-of-the-art facilities in Solihull, West Midlands are home to a tight-knit, but ever-expanding team that's passionate about delivering exquisite riding experiences to our customers.
Under new ownership and proud to be part of the TVS Motor family, we're entering a new era of global success. And we want you to be a part of it!
At Norton, we value respect, trust, and responsibility. We trust our employees to execute their roles exceptionally and professionally, and we value personal development, teaching, and learning. When you join our team, you'll have the opportunity to grow and learn alongside some of the most talented and dedicated people in the business.
So if you're passionate about motorcycles and looking to join a team that's shaping the future of this legendary brand, we'd love to hear from you!
The RoleWe're looking for a Lead / Principal Data Analytics, CRM to drive the analytics, measurement, and insights agenda across our global CRM ecosystem. This is a highly strategic role at the intersection of data, customer engagement, marketing effectiveness, and business growth. You'll transform customer signals into actionable insights, helping the organisation make smarter decisions across the entire customer journey while ensuring the customer remains at the center of every interaction.
Duties/ResponsibilitiesCRMAnalytics Strategy
- Define and evolve signal-based and attribute-driven customer outreach strategies.
- Establish scalable measurement frameworks that deliver accurate, consistent reporting across global markets.
- Drive data-backed decision-making across the CRM and customer engagement ecosystem.
- Own end-to-end analytics across the customer lifecycle, from lead identification through nurturing and conversion.
- Measure prospect engagement and movement across every stage of the funnel.
- Track, analyse, and optimise engagement, response rates, and conversion performance.
- Develop attribution models that evaluate the impact of multiple outreach channels.
- Partner with CRM and Marketing teams to improve campaign effectiveness and customer conversion.
- Deliver content performance insights that improve mid-funnel engagement.
- Identify optimal communication channels, formats, and customer touchpoints.
- Drive personalised targeting strategies across macro and micro customer segments.
- Develop next-best-action insights to improve customer engagement and conversion.
- Generate actionable prospect and customer insights that influence business strategy.
- Enhance Customer 360 capabilities through data enrichment and improved customer profiling.
- Support the evolution of Data Cloud architecture and customer data strategies.
- Provide recommendations on channel selection, outreach frequency, and campaign optimization.
- Improve lead scoring and lead management frameworks through predictive modelling, behavioural signals, and AI-driven scoring approaches.
- Champion a culture of testing, learning, and continuous improvement.
- Design and evaluate experiments across customer journeys and campaign programs.
- Drive measurable improvements in conversion rates, engagement, and customer experience.
- Act as a trusted advisor to Marketing, Sales, and CRM leaders, using analytics to shape strategic decisions.
- Translate complex data into clear business recommendations with measurable impact.
- Present insights, trends, and opportunities to senior leadership and executive stakeholders.
- Influence organisational actions through customer-centric, data-driven storytelling.
- Deep expertise in CRM analytics, customer journey analytics, and funnel measurement.
- Strong understanding of attribution modelling and online-to-offline conversion tracking.
- Hands-on experience with CRM and Mar Tech platforms.
- Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI.
- Strong technical foundation in SQL, data modelling,…
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