Senior Marketing Reporting and Analytics Specialist

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
• Our Ways of Working Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen.   Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.