Business Data Analyst

Randstad Technologies; City Of London; Hybride; GBP 40 000 - 52 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Résumé du poste

Randstad Technologies in London is hiring a Senior Data Analyst in Customer Success on a hybrid basis. The role focuses on digging into user journeys, building real‑time dashboards with Tableau/Power BI, and linking data pipelines to clear business decisions across international markets.

You will work hands-on with SQL, Python for analysis, and collaborate with data engineers to deliver actionable insights and effective storytelling for executives.

Qualifications

• 5+ years of hands-on experience in a Data Analyst/Analytics role.
• Proficient in SQL.
• Good working knowledge of Python for analysis and automation.
• Strong expertise with BI tools like Tableau or Power BI.
• Experience evaluating customer journeys, funnels, and retention with statistics and experimentation.

Responsabilités

• Evaluate user journeys and funnels to map drop‑offs and churn drivers.
• Build and maintain BI reporting suites in Tableau or Power BI for senior teams.
• Write production SQL to clean, structure, and model datasets for business decisions.
• Integrate AI tools to speed up queries, workflows, and data validation while ensuring data quality.
• Lead insights reviews and translate analyses into business recommendations.

Connaissances

SQL

Python

BI Tools

A/B Testing

Data storytelling

Outils

Tableau

Power BI

Description du poste

Senior Data Analyst - Customer Success

London, UK (Hybrid working 2/3 days in the office)

10-Month Contract

£250 a day inside IR35

A well established Fintech leader is looking for an experienced Data Analyst who loves digging into user journeys, finding the story behind the numbers, and showing businesses the exact purpose behind their data.

You will join the Customer Success Data Science team. This is a hands‑on, consultative role where you'll help bridge the gap between technical data engineering and executive business strategy across international markets.

Key Responsibilities

• User Journey & Funnel Diagnostic: Evaluate user behavior across digital touchpoints to map drop‑off points, diagnose churn drivers, and highlight areas for product or operational improvements.
• Metric Design & Reporting: Build and maintain BI reporting suites (in Tableau or Power BI) that give executive teams a real‑time view of customer health, support efficiency, and platform adoption.
• Analytics Engineering Collaboration: Write production SQL to clean, structure, and model datasets-ensuring every pipeline built connects to a specific business decision or operational check.
• Modern Tooling & Efficiency: Integrate emerging AI tools (such as Claude) into your daily routine to speed up query writing, workflow documentation, and data validation, while maintaining rigorous data quality controls.
• Stakeholder Enablement & Storytelling: Lead regular insights reviews with both technical and non‑technical teams, translating complex statistical analyses into simple, business‑focused recommendations.

Essential Skils

• 5+ years of hands‑on experience in a Data Analyst or Analytics function.
• Proficient in SQL
• Good working knowledge of Python for analysis and automation.
• Strong expertise with BI tools like Tableau or Power BI.
• Experience evaluating customer journeys, user funnels, and retention, with a solid grasp of statistics and experimentation (A/B testing).
• Excellent communication and storytelling abilities‑you know how to explain what you built, why you built it, and what it means for the business.

London, UK (Hybrid) 10-Month Contract £250 a day inside IR35

If you enjoy working autonomously, tackling complex user journey datasets, and seeing the direct business impact of your work, we'd love to hear from you.