Senior Customer Loyalty Insight Analyst

Dunnes Stores; Dublin; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Dunnes Stores, Ireland’s leading retailer, is seeking a Senior Customer Loyalty Insight Analyst to drive growth through data-driven CRM and loyalty insights across our fashion, food and home categories.

You will apply advanced analytics to analyze customer behaviour, segmentation and campaign performance to identify opportunities for engagement, reactivation and long-term value growth. A degree in a related field and proficiency in SQL, R or Python are required.

Qualifications

• Proven experience using advanced analytics for measurable business outcomes in commercial, consumer, marketing, CRM or loyalty analytics.
• Experience in Fashion, Food, Grocery, or related consumer sectors is highly preferred.
• Ability to translate data into actionable business insights for senior stakeholders.
• Experience with marketing incentives, campaigns or loyalty programs and evaluating ROI is a plus.
• Strong data validation, quality assurance, and accuracy in reporting.

Responsabilités

• Analyze and present customer behaviors to identify opportunities for retention, value growth, reactivation and campaign ROI optimization.
• Identify trends and strengths/weaknesses in customer segments across categories, brands, ranges, regions or sales channels.
• Collaborate with cross-functional teams to track CRM & Loyalty performance and drive customer growth and value.
• Perform segmentation and cohort analyses to uncover predictive factors for commercial behaviors.
• Evaluate the impact of new campaigns or products on uptake, retention and customer value growth; conduct scenario analysis.
• Set KPI targets per segment and ensure tracking to monitor performance and root cause analysis.
• Assess financial, market, and customer impact of loyalty incentives and determine performance drivers.

Connaissances

Advanced analytics

CRM & Loyalty analytics

Customer segmentation

Data visualization

SQL

Python

R

Cross-functional collaboration

Formation

Statistics or related field degree

Outils

SQL

R

Python

Description du poste

Dunnes Stores is Ireland’s leading retailer positioned at the cutting edge of food, home and fashion retailing. We are Irish owned and operate over 130 stores across Ireland, Northern Ireland, and Spain, as well as growing online store offers and a Dunnes Stores loyalty app. We are expanding our service and product offering for our customers all the time.

This role is focused on driving customer growth, retention and value through data-driven CRM and loyalty insights. It involves using advanced analytics techniques to analyse customer behaviours, segmentation and campaign performance so that opportunities to increase engagement, reactivation and long-term value are identified.

We are currently seeking a Senior Customer Loyalty Insight Analyst with a strong track record of driving business growth through the use of advanced analytics on customer behaviour and CRM/loyalty performance. The successful candidate will have the following responsibilities:

Responsibilities:

• Analyse and present customer behaviours to identify areas of opportunity for improvement in terms of customer retention, value growth, reactivation and campaign return on investment optimisation.
• Support the business by identifying trends and strengths/weaknesses associated with commercial performance of customer segments for each Category, Brand, Ranges, Regions or Sales Channels and identify priority customer segments for CMR and Loyalty targeting.
• Partner with the Dunnes Stores teams to track CRM & Loyalty performance to grow the customer base and customer value per category at an acceptable level of return on investment. Perform optimisation analysis and modelling.
• Identify factors predictive of commercial behaviours and differentiating of key segments. Perform advanced segmentation and customer cohort analysis.
• Critique the impact new campaigns or new products could have on customer uptake, retention and customer value growth. Perform scenario analysis.
• Advise on KPI goals per customer segment and ensure tracking is in place to understand business performance and goal attainment, identifying root cause of non-performance.
• Track the financial, market, commercial and customer impact of implemented incentives and loyalty plans and identify the drivers of performance.

Requirements:

• Proven experience in using advanced analytics techniques for measurable results as a commercial, financial, customer, marketing, CRM, or loyalty analyst.
• Strong preference for experience in Fashion, Clothing, Homeware, Food, Hospitality or Grocery category.
• Have both an analytical mindset and a commercial understanding to be able to work with Dunnes Stores teams to leverage company data for business solutions.
• Ideally have experience of analysing marketing, voucher, coupon, incentive investments to calculate campaign uplifts and return on investment.
• Experience using statistical methods, machine learning algorithms, and data processing tools to predict trends and provide actionable insights.
• Knowledge of how customer or segment attributes are created and used for developing marketing campaigns or for targeting customers with offers and promotions.
• Have data and insight visualisation skills for consumption at all levels of a business, from business owner/senior executive level to junior buyer or marketing specialist level.
• Experience reporting on or presenting key findings and actionable recommendations to senior stakeholders.
• Hands on knowledge of how to transform data for analytical use into data for performance tracking within BI and Dashboarding tools for general business consumption.
• Excellent level of data validation techniques and data accuracy.
• Strong financial and commercial acumen.
• Capacity to work in a fast-paced, cross-functional team environment.
• Minimum qualification is a degree in Statistics, Economics, Business, Computer Science, Mathematics, Finance, Engineering, or a related field. Experience with SQL, R, Python or equivalents.

Dunnes Stores is an Equal Opportunities Employer.