LexisNexis Risk Solutions

remote • GBR • senior • Не указана

**Are you passionate about turning complex data into clear, commercial insights that drive growth?** **Do you enjoy leading analytics initiatives that shape strategy and influence decision-making at scale?** **About the Business:** LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to help organisations evaluate and predict risk and improve operational efficiency. We use the power of data and advanced analytics to help our customers make better, more timely decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. **About the Team:** You will be part of the Marketing Technology & Operations team, helping Marketing maximise the value of its data, technology and digital channels. The team brings together marketing data, technology, analytics and activation to better understand audiences, measure marketing effectiveness, optimise customer journeys and demonstrate Marketing's contribution to commercial growth. **About the Role:** As a Marketing Data Analyst, you will turn marketing and customer data into actionable insights that improve campaign performance, audience engagement, marketing effectiveness and commercial outcomes. You will analyse performance across the marketing funnel, from awareness and acquisition through engagement, conversion and retention, identifying what is working, where customers are dropping out and where marketing activity and investment can be optimised. Working closely with Marketing, MarTech, Digital, Data Engineering and commercial teams, you will develop measurement frameworks, dashboards and analysis that connect marketing activity to customer behaviour, pipeline and revenue. **Responsibilities** * Analyse marketing performance across paid media, websites, search, email, social, events and integrated campaigns to identify trends, opportunities and growth drivers. * Develop and maintain marketing dashboards, scorecards and KPI frameworks covering acquisition, engagement, conversion, pipeline contribution, retention and marketing ROI. * Analyse audiences and customer segments to identify opportunities for improved targeting, personalisation and next-best-action strategies. * Evaluate campaign and channel effectiveness, identifying which audiences, channels, content and activities are driving engagement and commercial outcomes. * Analyse customer journeys to identify conversion points, drop-offs, engagement patterns, journey fatigue and optimisation opportunities. * Support marketing attribution and incrementality analysis to improve understanding of Marketing's contribution to pipeline and revenue. * Design and analyse A/B and multivariate tests, translating results into clear recommendations that improve marketing performance. * Partner with MarTech, Data Engineering and Marketing Operations teams to improve the availability, quality and usability of marketing, behavioural and customer data. * Translate complex analysis into compelling marketing performance narratives, insights and commercial recommendations for senior stakeholders. * Support campaign planning and investment decisions with evidence-based recommendations across audiences, channels, content and marketing spend. * Help establish consistent marketing measurement standards and embed a culture of test, learn and optimise across the Marketing function. **Requirements** * Strong experience in marketing analytics, digital analytics, customer analytics or marketing performance measurement. * Advanced SQL skills and experience combining campaign, customer, digital and commercial datasets. * Strong understanding of marketing funnels, audience segmentation, campaign measurement, attribution and customer lifecycle analytics. * Experience analysing digital marketing channels such as paid media, paid search, organic search, email, websites and social media. * Experience with experimentation techniques including A/B testing, multivariate testing, control groups and incrementality measurement. * Experience working with CDPs, marketing automation, CRM and/or journey orchestration platforms. * Strong data visualisation skills using tools such as Power BI, Tableau or Oracle Analytics, together with advanced Excel. * Understanding of web and digital analytics and the relationship between marketing engagement, conversion, pipeline and revenue. * Proven ability to translate complex datasets into clear, actionable insights and compelling stories for Marketing and senior leadership. * Good understanding of data quality, governance, consent and GDPR-compliant marketing data practices. * Commercial mindset with a strong focus on demonstrating measurable marketing impact and ROI. * Excellent communication and stakeholder-management skills, with the ability to influence decisions through data and insight.