Responsibilities

• Own the design, development and continuous improvement of marketing reporting and dashboard solutions using Power BI and Adobe.
• Act as the marketing subject matter expert for Adobe Analytics, delivering meaningful digital and customer insights.
• Build and maintain reporting assets, ensuring consistent KPI definitions, calculations and visual standards.
• Within Databricks use advanced SQL to extract, transform and analyse large, complex datasets from multiple sources.
• Develop reusable data models and reporting structures that improve efficiency and reporting accuracy.
• Conduct deep-dive analysis across campaign performance, customer behaviour, performance, attribution and ROI.
• Translate complex datasets into clear, actionable recommendations for marketing and business leaders.
• Support evidence-based decision making by identifying trends, opportunities and performance drivers.
• Develop and refine measurement frameworks, attribution methodologies and KPI hierarchies.
• Work closely with Data teams, IT, Digital Distribution team, Trading and Finance teams to maximise business performance and ROI’s.

Requirements

• Proven expertise in Adobe suit including Analytics, Launch, Edge and AEP.
• Strong hands-on experience using SQL for complex querying, data transformation and analysis.
• Dashboard development and digital performance measurement.
• Significant experience designing and building advanced Power BI solutions, including data modelling and DAX.
• Experience working within marketing analytics, digital analytics, business intelligence or related analytical environments.
• Strong understanding of marketing performance measurement, attribution and customer journey analytics.
• Excellent numerical, analytical and problem-solving skills.
• Ability to interpret complex information and present insights clearly to both technical and non-technical audiences.
• Strong stakeholder management and communication skills.
• Experience developing dashboards, reports and automated analytical solutions.

Preferred

• Experience with additional analytics, tag management or digital measurement tools such as Adobe Launch, Google Analytics, Tealium or GTM.
• Knowledge of A/B testing, experimentation frameworks and statistical analysis techniques.
• Experience using Python, R or similar tools for advanced analytics and marketing use cases.
• Exposure to cloud-based data platforms such as Azure, AWS, GCP, Snowflake or BigQuery.
• Familiarity with CRM, CDP, marketing automation and paid media platforms.
• Experience developing predictive analytics, propensity models or automated insight solutions.
• Responsible Artificial Intelligence usage.

Benefits

• Flexible buy/sell holiday options
• Hybrid working
• Annual performance related bonus
• Contributory pension scheme
• Development days
• A discount up to 50% on a range of insurance products including car, home and pet
• Retail discounts
• Volunteering days