Data Analyst - Customer Success
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2026-05-31
Listing for:
EF Recruitment
Part Time
position Listed on 2026-05-31
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below
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
- 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: identify opportunities for innovation rather than just responding to problems
- Friendly supportive team
- Informal dress code
- Global organisation.
- Hybrid role.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×