Data Strategy & Analytics Manager, Digital Growth

Income Insurance was founded on the vision of making insurance accessible to all. This vision continues to shape the way we design products, engage, and deliver value to our customers.

You will be part of the Digital Growth team within the Customer Office, with a matrix relationship to the General Insurance Office. The team is responsible for driving growth through digital by owning digital revenue performance and leading the strategy, implementation, and optimisation of MarTech and AdTech solutions to improve relevance, acquisition effectiveness, and customer outcomes across digital channels.

Summary

This role requires a hybrid professional with a strong understanding of marketing, digital and non‑digital data, marketing technologies, and business needs, with a primary remit of driving growth through digital channels. The role owns the analytics and strategic intelligence function that supports digital growth, working cross‑functionally with Growth Acquisition, Platform & MarTech, and Experience teams to translate data into clear, commercially impactful decisions.

The individual will leverage first‑party data and digital insights to proactively identify growth opportunities, improve acquisition effectiveness and efficiency, and optimise customer journeys to drive performance against digital growth and revenue targets, while enabling more relevant and effective customer experiences.

Marketing & Digital Data

• Own marketing, digital, and customer data analytics across the digital business as the primary SME.
• Support integration and activate first‑party, offline, and online data across all marketing and O2O touchpoints.
• Define and operationalise customer segments to enable personalization and targeted activation.
• Drive effective usage of MarTech and AdTech data across teams and platforms.

Campaign, Journey & Performance Analytics

• Lead campaign and customer journey analysis to optimise acquisition, engagement, and conversion outcomes.
• Measure and report campaign effectiveness across paid, owned, and organic channels, translating insights into actions.
• Build and apply acquisition models (e.g. funnel performance, cost efficiency, LTV/CAC) to improve marketing effectiveness and spend efficiency.
• Partner with team and stakeholders to continuously improve end-to-end marketing and journey performance.

Commercial Insights & Measurement

• Own sales, marketing, and growth analytics across digital engagement, acquisition, operations, and platform initiatives.
• Lead analytics initiatives that drive digital topline growth and P&L outcomes, identifying key opportunities for scale and optimisation.
• Develop revenue models, attribution approaches, channel effectiveness, and acquisition efficiency frameworks aligned to P&L outcomes.
• Define KPIs, targets, and performance frameworks to track and optimise digital and acquisition performance.
• Translate complex data into clear, decision‑ready insights for senior leadership and stakeholders.
• Provide analytical direction, oversight, and quality assurance across analytics deliverables owned by dotted‑line team members.

Forecasting & Data Infrastructure

• Build forecasting models, dashboards, and reporting frameworks to support strategic planning and leadership reporting.
• Design, manage, and optimise analytics datasets and pipelines on data platforms like GCP / BigQuery.
• Work with internal teams, agencies, and vendors to deliver data‑led solutions to marketing and commercial challenges.
• Drive adoption and effective use of MarTech and AdTech platforms (e.g. GA, Marketing Automation, CRM, CDP, Meta, Google Ads ).

Requirements

• 5–7 years’ experience working with business, marketing, and digital analytics data in a corporate or digital commerce environment
• Able to bridge the gap between marketing, data, and technology, translating analytics into business and commercial outcomes
• Experience in financial services or insurance business models is a plus
• High proficiency in digital data analytics, with a strong emphasis on driving activation, optimisation, and efficiency, not just insights
• Highly proficient in SQL and data visualisation tools (e.g. SQL Server, Tableau, Data Studio)
• Strong technical understanding and hands‑on experience working with marketing technology platforms (e.g. Data Cloud, CDP, ad serving, marketing automation platforms)
• Experience leading or overseeing analytics delivery in a matrix or dotted‑line team setup, ensuring quality, prioritisation, and timely outcomes
• Ability to work with cross‑functional teams to identify, prioritise, and deliver use cases using data and MarTech solutions

Other Competencies and Traits

• Strong project and delivery management skills, with the ability to clearly set priorities, objectives, and outcomes across multiple stakeholders. 
• Strong communicator with the ability to engage, influence, and align internal teams and external partners. 
• Self‑motivated and proactive and comfortable taking initiative and operating as a hands‑on leader while navigating complex organisations to get things done.
• Highly analytical, with the ability to make sound decisions grounded in data and commercial judgment. 
• Strong negotiation skills, resourceful, high emotional intelligence, and an innovative, collaborative mindset. 
• Tech‑savvy and curious, with a passion for data and technology, and the ability to articulate and “sell” ideas effectively to diverse audiences.