Data Analyst - Customer Retention
other jobs Executive Facilities
Added before 5 Days
- England,London,City of London
- Full Time, Contract
- £260 per day
Job Description:
Full job descriptionOur 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.
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.
Job number 3792032
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metapel
Company Details:
Executive Facilities
Company size: 1–4 employees
Industry: Recruitment Consultancy