Customer Loyalty Insight Analyst
Confidential
- Dublin, Dublin, Ireland
- Dublin, Dublin, Ireland
Über
Before applying for this role, please read the following information about this opportunity found below.
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 analysing customer behaviors, segmentation and campaign performance to identify opportunities to increase engagement, reactivation and long-term value.
We are currently seeking a Customer Loyalty Insight Analyst with a strong track record of driving business growth through the analysis of customer behavior 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, and reactivation.
Support the business by identifying trends and strengths/weaknesses associated with customer segments for each Category, Brand or Range 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.
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.
Critique the impact new campaigns could have on customer uptake, retention and customer value growth.
Identify priority improvement or corrective actions based on customer growth and behaviour targets.
Prioritise management by exception business intelligence solutions to generate transformative, consumable and actionable business insights.
Track the financial, market and customer impact of implemented incentives and loyalty plans.
Perform advanced segmentation and customer cohort analysis.
Outline benchmarks Dunnes Stores need to track for future market growth and customer value growth.
Requirements: Proven experience as a customer, marketing, CRM, or loyalty analyst.
Strong preference for experience in Fashion, Clothing, Homeware, Food, Hospitality or Grocery category.
Experience of analysing marketing, voucher, coupon, incentive investments to calculate campaign uplifts and return on investment.
Knowledge of how to use epos, third party or customer data to inform business decisions.
Knowledge of how customer or segment attributes are created and used for developing marketing campaigns or for targeting customers with offers and promotions.
Highly data literate with experience of sourcing, analysing and reporting by turning raw or reported data from multiple sources into meaningful insights including using databases and BI tools.
Strong 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 share data for analytical use or for performance tracking within BI and Dashboarding tools for general business consumption.
Excellent level of data validation techniques and data accuracy.
Retail Category or Customer Insight & Analysis experience is a distinct advantage including familiarity with internal loyalty data and external 3rd party market data sources.
Strong Financial acumen Experience of predictive modelling or AI-driven targeting.
Capacity to work in a fast-paced, cross-functional team environment If this sounds like the job for you, please apply and tell us why you would be perfect for this challenging and rewarding role! xyswxtq Dunnes Stores is an Equal Opportunities Employer.
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Sprachkenntnisse
- English
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