Marketing and Customer Insight Analyst

Three Rock Group; Sandyford; On-site; EUR 65,000 - 90,000; Full time

Job summary

Chill Insurance in Ireland is seeking a Marketing and Customer Insight Analyst to own behavioural segmentation, NBA decisioning, and propensity modelling across CRM. You will partner with CRM, Data, and Marketing to translate data into campaigns and measurable outcomes that drive revenue growth.

You will apply SQL, Python, and CRM platforms to design targeted journeys, test ideas, and optimise performance across channels.

Qualifications

• Strong analytical capability — confident with SQL and data visualisation.
• Working knowledge of Python or similar tools to explore data, validate outputs, and interrogate model performance.
• Strong understanding of propensity modelling, predictive analytics, and AI-driven decisioning concepts.
• Familiarity with AI-enabled marketing approaches (real-time decisioning, recommendation engines).
• Ability to interpret, challenge, and refine model outputs and translate into practical marketing actions.
• Experience translating segmentation, behavioural data, and model outputs into CRM strategies and journeys.
• Understanding of personalisation and decisioning systems and how rules and models interact in execution.
• Strong commercial mindset — prioritise activity based on value impact.
• Excellent communicator — translate analytics into clear business actions.
• Experience with CRM and marketing automation platforms.

Responsibilities

• Own and embed TRG’s behavioural segmentation and decisioning frameworks.
• Translate segments into commercial strategies across acquisition, conversion, retention, and cross-sell.
• Define and evolve NBA frameworks and decisioning logic.
• Develop scalable personalisation approaches for behaviour-led journeys.
• Ensure decisioning logic is embedded within CRM execution.
• Identify key propensity use cases and translate model outputs into actionable CRM rules.
• Lead test-and-learn roadmap with strong hypotheses and statistical rigour.
• Provide clear recommendations to improve enquiry generation, conversion and retention.

Skills

SQL

Python

Propensity modelling

AI-driven decisioning

CRM strategies

Commercial mindset

Communication

Marketing automation platforms

Education

Bachelor's degree in a relevant field

Tools

CRM platforms

Marketing automation tools

Job description

Chill Insurance are currently on the lookout for a Marketing and Customer Insight Analyst to join our team.

About the Company

Chill Insurance Limited (“Chill”) is a multi-channel insurance intermediary regulated by the Central Bank of Ireland. Founded in 2007, Chill has scaled to become one of Ireland’s leading insurance intermediaries. Chill Insurance is backed by Private Equity house Livingbridge and having invested significantly in the infrastructure and operational teams in the business we are now in a position to take advantage of a number of opportunities (both organic and acquisitive) which should lead to a more than doubling in the size of the business in the coming few years.

Chill’s sister companies include Quote Devil Insurance, an insurance intermediary, and Ivernia Insurance Ltd, an MGA insurer . The finance team support all three businesses and the consolidated Three Rock Group parent entities and this role will provide support across the full group.

Purpose

Own and embed TRG’s behavioural segmentation and customer decisioning frameworks, ensuring they translate into clear, commercially impactful CRM strategies. This role acts as the internal authority on how customer behaviour is defined, segmented, and activated—driving the shift toward data-led personalisation, next-best-action (NBA), and propensity-driven marketing across the customer lifecycle.

Operating as a senior individual contributor, the role provides analytical leadership and decisioning frameworks that directly shape CRM performance and commercial outcomes.

KEY RESPONSIBILITIES

Behavioural Segmentation Ownership

• Act as the internal SME and owner of TRG’s behavioural segmentation model.
• Validate, challenge, and approve segmentation methodology, outputs, and ongoing evolution.
• Translate segments into clear commercial strategies across acquisition, conversion, retention, and cross-sell.
• Ensure segmentation is consistently and effectively applied across CRM and marketing activity.

Decisioning, NBA & Personalisation

• Define and evolve next-best-action (NBA) frameworks and decisioning logic.
• Establish how behavioural data, segmentation, and context drive: Targeting; Timing; Message and proposition
• Develop scalable personalisation approaches that move beyond static campaigns to behaviour-led journeys.
• Ensure decisioning logic is embedded within CRM execution.

Propensity Modelling & Activation

• Identify and prioritise key propensity use cases (e.g. conversion, churn, cross-sell).
• Translate model outputs into actionable CRM rules, triggers, and journey design.
• Ensure propensity-led strategies are measurable and continuously optimised.

Insight-Led Optimisation & Testing

• Define and lead the test-and-learn roadmap, ensuring strong hypotheses and statistical rigour.
• Analyse customer journeys to identify drop-offs, triggers, and optimisation opportunities.
• Provide clear recommendations to improve enquiry generation, conversion, and retention.

Performance & Commercial Insight

• Develop performance frameworks linking segments, decisioning, and campaigns to commercial outcomes.
• Produce clear, actionable insight on what is driving performance and where to focus next.
• Evaluate effectiveness of segmentation, NBA, and propensity approaches.

Data & Martech Enablement

• Define requirements for data and Martech to support segmentation, decisioning, and personalisation.
• Ensure data structures enable accurate targeting, measurement, and optimisation.
• Partner with technical teams to embed decisioning into CRM workflows.

Cross-Functional Influence

• Act as the go-to expert on behavioural insight and customer decisioning.
• Influence CRM, Data, and Marketing teams to adopt segmentation-led and test-and-learn approaches.
• Support the successful activation of segmentation within day-to-day CRM delivery.

CORE SKILLS

• Strong analytical capability — confident with SQL and data visualisation.
• Working knowledge of Python or similar tools to explore data, validate outputs, and interrogate model performance (not required to build models from scratch).
• Strong understanding of propensity modelling, predictive analytics, and AI-driven decisioning concepts (e.g. classification models, uplift modelling, next-best-action frameworks).
• Familiarity with AI-enabled marketing approaches (e.g. real-time decisioning, recommendation engines, automated content optimisation).
• Ability to interpret, challenge, and refine model outputs and ensure they translate into practical marketing applications.
• Experience translating segmentation, behavioural data, and model outputs into CRM strategies and journeys.
• Understanding of personalisation and decisioning systems, including how rules and models interact in execution.
• Strong commercial mindset — able to prioritise activity based on value impact.
• Excellent communicator — able to simplify complex analytics into clear business actions.
• Experience working with CRM and marketing automation platforms.