Data Analyst - Customer Success £260pd

EF Recruitment
London, GB
Hybrid

Job Description

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.

Skills & Requirements

Technical Skills

SqlTableauQlikSnowflakeDatabricksSparkPythonRMachine learningGenerative aiCommunicationProblem solvingTime managementCustomer successOperationsDigital experience

Level

Mid-Level

Posted

5/5/2026

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