Data Analyst - Customer Success

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EF Recruitment
ScreenedHybridJust posted
London
£250 - £265/day
Posted 1 day ago
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About the role

Our global SaaS Client are now seeking a Data Analyst to join their team with a focus on customer retention. This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle. This is a hybrid role (2/3 days week) for 4 months with potential to extend. Responsibilities * Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions * Build data capabilities that work consistently across multiple regions and countries differences). * Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics. * Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies. * Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations. * Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation * Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations * Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders Experience * 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains * Proficiency in SQL for data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) * Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes * Experience with Python or R for advanced analytics, automation, or experimentation * Knowledge of statistical methods and experimentation (A/B testing) preferred * Machine learning and Generative AI experience is a plus * Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences * Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems Benefits * Friendly supportive team * Informal dress code * Global organisation. * Hybrid role

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