Insight Lead (Customer Experience)

Storiogroup; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Storio group is seeking an Insight Lead to bridge manufacturing, customer care and shipping data into actionable insights. You will guide analytics, build dashboards, and influence planning with a cross-border team in Amsterdam and London.

You will drive end-to-end customer experience improvements by translating complex data into practical business value, shaping channel strategies and forecasting. Familiarity with AI tools is a plus.

Qualifications

• Significant experience in customer experience analytics, business intelligence, or customer insights.
• Proven background in direct people management, with a track record of developing analyst talent.
• Advanced technical skill in data analytics and data modeling across disparate platforms like Zendesk and Looker.
• Hands-on experience or strong working interest in AI automation tools such as Claude and Hex.
• Strong commercial acumen with an ability to translate complex data into clear operational language.
• Demonstrated ability to prioritize high-value objectives and manage stakeholder expectations in fast-paced environments.
• Direct experience working within supply chain or manufacturing analytics environments.
• Experience integrating production-line metrics into broader customer support and logistics ecosystems.

Responsibilities

• Connect data from AI bots, human support interactions, factory metrics, and logistics milestones to uncover hidden commercial value.
• Analyze support tickets, chat logs, and CSAT or NPS scores to find root causes of customer issues and share findings with team partners.
• Evaluate contact per order metrics and present clear recommendations that drive self-service adoption and operational process improvements.
• Build and maintain automated dashboards that deliver accurate, single-source-of-truth reporting for business stakeholders.
• Investigate unified journey analytics and develop business cases for technical tools, AI implementations, and channel optimizations.
• Partner with the Planning Lead to integrate objective data insights into care, shipping, and production forecasting.
• Create a value-impact framework to triage competing operational requests and keep team resources focused on high-value goals.
• Positively influence Cost per Order by mapping supply chain efficiency opportunities directly to business value.
• Quantify the financial difference between the cost of failure and the value of resolution to justify operational pivots.
• Build a 6 to 18 month roadmap for proactive outreach moments that boost overall Customer Lifetime Value.
• Develop an operational framework that feeds production line quality and lead time data directly into the customer experience ecosystem.
• Coach a small team of analysts, building their technical skills and transforming reactive reporting into proactive value hunting.
• Strengthen the link between operations data and core business outcomes like margin, revenue, and overall efficiency.

Skills

Customer analytics

People management

Data analytics

AI tools (Claude, Hex)

Commercial acumen

Prioritization

Supply chain analytics

Production-line metrics integration

Tools

Zendesk

Looker

Job description

Make Your Mark as an Insight Lead (Customer Experience) at Storio group

About the role

As our Insight Lead, you sit at the critical intersection of manufacturing, customer care, and shipping. You will connect the dots across fragmented data sets to uncover operational trends, risks, and commercial opportunities across our supply chain. Reporting to our Head of Analytics in London, you will lead a small team analysts based in Amsterdam while collaborating with cross-functional partners to improve our end-to-end customer journey.

You will shape our operations strategy by bridging technical data analysis with practical business value. Through your work, you will guide our channel strategies, influence planning accuracy, and help us build a better experience for our customers every day.

• Connect data from AI bots, human support interactions, factory metrics, and logistics milestones to uncover hidden commercial value.

• Analyze support tickets, chat logs, and CSAT or NPS scores to find root causes of customer issues and share findings with team partners.

• Evaluate contact per order metrics and present clear recommendations that drive self-service adoption and operational process improvements.

• Build and maintain automated dashboards that deliver accurate, single-source-of-truth reporting for business stakeholders.

• Investigate unified journey analytics and develop business cases for technical tools, AI implementations, and channel optimizations.

• Partner with the Planning Lead to integrate objective data insights into care, shipping, and production forecasting.

• Create a value-impact framework to triage competing operational requests and keep team resources focused on high-value goals.

• Positively influence Cost per Order by mapping supply chain efficiency opportunities directly to business value.

• Quantify the financial difference between the cost of failure and the value of resolution to justify operational pivots.

• Build a 6 to 18 month roadmap for proactive outreach moments that boost overall Customer Lifetime Value.

• Develop an operational framework that feeds production line quality and lead time data directly into the customer experience ecosystem.

• Coach a small team of analysts, building their technical skills and transforming reactive reporting into proactive value hunting.

• Strengthen the link between operations data and core business outcomes like margin, revenue, and overall efficiency.

• Significant experience in customer experience analytics, business intelligence, or customer insights.

• Proven background in direct people management, with a track record of developing analyst talent.

• Advanced technical skill in data analytics and data modeling across disparate platforms like Zendesk and Looker.

• Hands-on experience or strong working interest in AI automation tools such as Claude and Hex.

• Strong commercial acumen with an ability to translate complex data into clear operational language.

• Demonstrated ability to prioritize high-value objectives and manage stakeholder expectations in fast-paced environments.

• Direct experience working within supply chain or manufacturing analytics environments.

• Experience integrating production-line metrics into broader customer support and logistics ecosystems.