CRM Data Planner

Key Responsibilities

• Translate analytical outputs into actionable insights and recommendations for campaign optimisation.
• Build, review and maintain campaign data briefs for CRM Managers, ensuring accurate targeting logic and data utilisation.
• Support weekly, monthly and seasonal CRM planning with data-driven recommendations and opportunity sizing.
• Enforce and maintain CRM data governance practices, including taxonomy, consent, attribution, campaign metadata, audience definitions and segmentation logic.
• Drive adoption of consistent naming conventions, documentation and process discipline across CRM data planning activities.
• Support accountability for CRM data availability, accuracy and correct usage across all campaigns and journeys by performing hands-on checks, QA and validation.
• Work closely with the Internal Data & AI team to ensure CRM-critical datasets in Azure and Databricks are reliable, well-structured and available for planning, targeting, reporting and analytics.
• Build, maintain and improve clear and reliable CRM reporting, dashboards and automated insight products (e.g., PowerBI) to provide actionable insight into customer behaviour, campaign performance and lifecycle effectiveness.
• Design, develop and apply CRM analytics including segmentation builds (e.g., behavioural, lifecycle), propensity scoring, look-a-like logic and uplift-aligned targeting approaches.
• Ensure all analytical outputs (segments, scores, lists, models) meet quality standards, are commercially meaningful and are correctly operationalised into Salesforce Marketing Cloud, Data360 and CRM workflows.
• Define campaign-level KPIs and measurement requirements, produce performance reporting and support the design of statistically valid test-and-learn initiatives.
• Build customer segmentations, lifecycle cohorts, propensity models or targeted lists using data in Azure and Databricks.
• Create and optimise segments and data models required for campaign delivery, audience selection and journey triggers.
• Work closely with CRM Managers to support end-to-end campaign planning and activation.
• Partner with Data & AI and Salesforce teams to ensure CRM data requirements are understood and prioritised.
• Support the Salesforce Marketing Cloud and Data360 implementation, including testing, data readiness and operational process changes.

Required Skills & Experience

• Experience in multi-channel CRM data planning, segmentation, targeting, campaign data delivery and analysis.
• Strong understanding of CRM platforms (ideally Salesforce Marketing Cloud), audience architecture, campaign planning, and lifecycle journey design.
• Strong capability in SQL and Python, and working with large-scale customer datasets in environments such as Azure and Databricks, including hands-on data preparation, QA, transformation and model-ready dataset creation.
• Ability to design and build customer segmentations (e.g., behavioural, lifecycle, clustering), and develop predictive models such as propensity, churn/lapse and cross/upsell scores, applying them to improve targeting and personalisation.
• Practical experience developing analytical models using common statistical or machine-learning techniques.
• Experience developing CRM reporting, dashboards and insight products (e.g., PowerBI), with strong data visualisation and storytelling skills.
• Strong organisational skills with the ability to manage multiple simultaneous campaigns, analysis and deadlines.

Benefits

• 25 days of annual leave (plus bank holiday entitlement) and a competitive pension scheme.
• Private Medical Insurance.
• Life Assurance.
• Fantastic Colleague Discounts on Tech with Currys and iD Mobile.
• Hybrid Working (with an expectation to meet in person 2-4 times per month).

Every voice has a space at our table and we’re committed to making inclusion and diversity part of everything we do. If you need any additional assistance with your application please email careers@currys.co.uk and we’ll do our best to help.