Data Analyst - SQL - Tableau - Qlik - Python - Customer Success - SaaS - Fintech - London - Hybrid
Posted 7 days ago by Nexere Consulting Limited
£285 Per day
Inside
Hybrid
London, UK
Summary: The Data Analyst role focuses on enhancing data capabilities across global markets within a SaaS and Fintech environment. The position involves building data foundations, developing dashboards, and delivering analytics to drive customer success. The analyst will also influence strategy through effective communication of insights. This hybrid role is based in London and requires SaaS experience.
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.
- Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
- 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.
Key Skills:
- 5+ 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
- Hands-on experience applying Gen AI to analytics workflows is a strong plus - eg, automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines; machine learning experience also a plus
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences
Salary (Rate): £285 per day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Data Analyst - SQL - Tableau - Qlik - Python - Customer Success - SaaS - Fintech - London - Hybrid
- Location - London
- Pay Rate - £285 per day Inside IR35
- Working Model - 3 Days per week on-site
- Must have SaaS experience
My client who are leaders in their field are looking for a Data Analyst who will be building core data capabilities across multiple global regions and markets. This role is critical in addressing analytics gaps by enabling actionable insights, automating dashboards, and ensuring consistent, reliable data foundations.
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.
- Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
- 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.
Key Skills/Experience:
- 5+ 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
- Hands-on experience applying Gen AI to analytics workflows is a strong plus - eg, automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines; machine learning experience also a plus
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences