Data Analyst

EF Recruitment; Greater London; Ibrido; GBP 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working

Award winning work environment

Long contract with potential to extend

Descrizione del lavoro

EF Recruitment seeks an experienced Data Analyst to join a Global Customer Success Data Science team on a 9-month contract. You will collaborate with cross-functional teams to measure and improve customer success across multiple domains, building pipelines, dashboards and AI-enabled analytics.

Responsibilities include developing scalable data foundations, delivering deep-dive analyses, enabling experimentation, and storytelling with insights for both technical and non-technical stakeholders.

Competenze

• 8+ years of data analytics or data science experience.
• Proficiency in SQL for data extraction, transformation and pipelines.
• Experience with dashboards and visualization tools (Tableau, Qlik or similar).

Mansioni

• Build robust data foundations by collaborating with engineering to develop pipelines, improve data integrity, and define metrics for international markets.
• Develop scalable dashboards and reporting to monitor key performance metrics across the customer journey.
• Conduct deep-dive analytics to identify drivers of pain points and improve customer journeys.
• Leverage Gen AI to automate insights generation and support anomaly detection.
• Support experimentation and continuous improvement through A/B testing and evaluation of digital experiences.
• Communicate insights and trends clearly to technical and non-technical stakeholders to influence decisions.

Conoscenze

SQL

Visualization (Tableau/QLik)

Python/R

Big data tools

Gen AI tools

A/B testing

Data storytelling

Strumenti

Snowflake

Databricks

Spark

Descrizione del lavoro

Our Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 9-month contract.

You'll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence.

Key Responsibilities

• Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored for international markets.
• Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics and think broadly across the end-to-end customer journey.
• Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies and translate findings into actionable recommendations that improve customer journeys.
• Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights.
• Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations by analysing performance outcomes and quantifying customer and business impact.
• Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders, ensuring alignment on decisions that improve customer experience, digital adoption, operational performance, and supportability.

Skills

• 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 support preferred
• Knowledge of statistical methods and experimentation (A/B testing) preferred
• Machine learning and Generative AI experience is a plus
• A genuine enthusiasm for Gen AI and a growth mindset toward how emerging tools can accelerate analytical work
• Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences

Benefits

• Award winning work environment
• Hybrid working
• Long contract with potential to extend