Senior Data Analyst, Customer Success Insights (Hybrid)

Executive Facilities; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Award winning work environment

Long contract with potential to extend

Job summary

Executive Facilities is seeking an experienced Data Analyst for a 9-month contract to help enhance how we measure customer success and drive operational excellence from the UK. You will partner with cross-functional teams to turn data into strategic insights across customer experience, digital experience, service delivery, and supportability.

The role focuses on building robust data foundations, delivering scalable dashboards, and conducting deep-dive analytics with Gen AI-enabled insights.

Qualifications

• 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.

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

SQL

Tableau

Python/R

A/B testing

Gen AI

Storytelling

Communication

Big data concepts

Tools

Tableau

Qlik

Snowflake

Databricks

Spark

Job description

Executive Facilities is seeking an experienced Data Analyst for a 9-month contract to help enhance how we measure customer success and drive operational excellence from the UK. You will partner with cross-functional teams to turn data into strategic insights across customer experience, digital experience, service delivery, and supportability.

The role focuses on building robust data foundations, delivering scalable dashboards, and conducting deep-dive analytics with Gen AI-enabled insights.