Data Analyst

Data Analyst

Posted Today by Empresaria Group plc

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£26 Per hour
Inside
Hybrid
London Area, United Kingdom
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A/B Testing Apache Spark Automation Azure Databricks Big Data Databricks Data Extraction Data Integrity Data Science Extract Transform Load (ETL) Financial Technology (FinTech) Python (Programming Language) SQL (Programming Language) Storytelling Tableau (Business Intelligence Software)

Summary: The Data Analyst role at a global fintech leader involves driving data capabilities and insights within the Customer Success Data Science team. The position requires an experienced data professional to enhance data integrity, develop dashboards, conduct analytics, and influence strategic decisions through storytelling. This contract role is hybrid, requiring three days in the office and two days from home. The contract duration is nine months, ending in September 2026.

Key Responsibilities:

  • Build robust data foundations – Work with engineering teams to improve data integrity, pipelines, and governance across international markets.
  • Develop actionable dashboards – Create scalable, user-friendly dashboards that deliver real-time insights on key performance metrics (tNPS, Issue Resolution, AHT, etc.).
  • Deliver deep-dive analytics – Conduct root-cause analysis to identify pain points and drive operational improvements.
  • Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences.
  • Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units.

Key Skills:

  • 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience).
  • Strong SQL skills for data extraction, transformation, and pipeline development.
  • Proficiency in Tableau, Qlik, or similar visualization tools.
  • Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes.
  • Exposure to Python or R for automation, experimentation, or analytics.
  • Excellent communication and storytelling skills with both technical and non-technical audiences.
  • Proactive, growth-oriented mindset and comfort working across multiple projects in a fast-paced, global environment.
  • Bachelor’s degree in a data-related field (or equivalent experience).

Salary (Rate): £26.00/hr

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Analyst – Global Fintech Leader (Contract)

Location: London (Hybrid – 3 days in office, 2 days from home)

Rate: Up to £285 per day (umbrella)

Duration: 9-month contract (current end date: September 2026)

About the Role

We’re partnering with a global fintech leader to hire a Data Analyst within their Customer Success Data Science team , driving data capabilities and insights across international markets. This is a fantastic opportunity for an experienced data professional who thrives in dynamic environments, enjoys problem-solving, and wants to make a tangible impact on how customer success is measured and delivered across multiple regions.

Key Responsibilities

  • Build robust data foundations – Work with engineering teams to improve data integrity, pipelines, and governance across international markets.
  • Develop actionable dashboards – Create scalable, user-friendly dashboards that deliver real-time insights on key performance metrics (tNPS, Issue Resolution, AHT, etc.).
  • Deliver deep-dive analytics – Conduct root-cause analysis to identify pain points and drive operational improvements.
  • Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences.
  • Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units.

What We’re Looking For

  • 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience).
  • Strong SQL skills for data extraction, transformation, and pipeline development.
  • Proficiency in Tableau, Qlik, or similar visualization tools.
  • Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes.
  • Exposure to Python or R for automation, experimentation, or analytics.
  • Excellent communication and storytelling skills with both technical and non-technical audiences.
  • Proactive, growth-oriented mindset and comfort working across multiple projects in a fast-paced, global environment.
  • Bachelor’s degree in a data-related field (or equivalent experience).

If you’re looking for a challenging and rewarding contract opportunity with a global fintech leader, where your work directly shapes customer success and digital experience, apply today!

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