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About the Role
Lead advanced analytics to uncover insights across the customer lifecycle and support business growth. Translate data into clear recommendations, partner across teams, and help drive a culture of data-informed decision making.
Responsibilities
- Lead multi-source analysis across acquisition, engagement, retention, and lifecycle to identify growth drivers and trends
- Design and maintain executive dashboards and KPI frameworks; automate reporting and performance narratives
- Diagnose journey performance (triggers, paths, drop-offs, fatigue) and recommend optimisation actions
- Partner with MarTech, Data Engineering, and Ops to ensure scalable, high-quality data and governance
- Translate analytics into clear commercial recommendations influencing campaigns and investment decisions
- Set and embed best practices in measurement, experimentation, and KPI design
- Mentor analysts and promote a data-driven culture across the marketing function
- Support strategic planning through insight-led portfolio and customer-value growth recommendations
Requirements
- Advanced SQL and strong experience with analytics tools, statistical methods, and enterprise dashboards
- Expertise in A/B & MVT testing, attribution models, lifecycle metrics, and causal analysis
- Experience with CDPs, journey orchestration, segmentation, and identity/data privacy practices
- Strong skills in data visualisation tools (e.g., Power BI, Tableau, Oracle Analytics) and advanced Excel
- Proven ability to convert complex data into clear, actionable insights for senior stakeholders
- Solid understanding of data governance, quality, and GDPR-compliant data handling
- Commercial mindset with experience influencing decisions in complex/global environments
- Excellent communication and storytelling skills with focus on measurable business impact
Skills
- SQL
- Analytics tools
- Statistical methods
- Enterprise dashboards
- A/B testing
- MVT testing
- Attribution models
- Lifecycle metrics
- Causal analysis
- CDPs
- Journey orchestration
- Segmentation
- Identity/data privacy practices
- Data visualisation
- Power BI
- Tableau
- Oracle Analytics
- Advanced Excel
- Data governance
- Data quality
- GDPR-compliant data handling
- Communication
- Storytelling
Location
- USA
Work Type
- Full-time
Experience Level
- Advanced
- Expertise
- Proven
- Solid
- Excellent
Benefits
- Generous holiday allowance with the option to buy additional days
- Health screening
- Eye care vouchers
- Private medical benefits
- Wellbeing programs
- Life Assurance
- Competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the Company
- LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency.
- We use the power of data and advanced analytics to help our customers make better, timelier decisions.
- By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient.
Equal Opportunity
- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
- Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
- Please read our Candidate Privacy Policy.
- We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
- USA Job Seekers: EEO Know Your Rights.