via reed · 28 May 2026 ·8 days ago

Data Analyst - Customer Retention

Executive Facilities
London Contract GBP 67,600 – 67,600
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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 13 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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