Data Analyst - Customer Success

EF Recruitment
London, United Kingdom
Last month
£250 – £265 pd
Applications closed

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Salary

£250 – £265 pd

Job Type
Contract
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
5 May 2026 (Last month)

Benefits

Friendly supportive team Informal dress code Global organisation

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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