

Randstad Digital
Senior Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in London, UK, on a 10-month contract with a pay rate of £260 to £277.73 umbrella. Requires 8+ years in Data Analytics, expertise in SQL, Python/R, and experience with BI tools like Tableau and Power BI.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
277
-
🗓️ - Date
December 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Spark (Apache Spark) #Data Science #SQL (Structured Query Language) #Microsoft Power BI #Scala #Looker #Data Pipeline #R #Tableau #Strategy #Leadership #"ETL (Extract #Transform #Load)" #Snowflake #Data Analysis #AI (Artificial Intelligence) #Cloud #A/B Testing #BI (Business Intelligence) #Project Management #Qlik #Databricks #ML (Machine Learning)
Role description
Senior Data Analytical Lead – Global Customer Success
Location: London, UK
Industry: Leading Global Financial Services Client
Contract: 10 months contract
Day Rate: £260 to £277.73 umbrella
About the Role
We are seeking a highly skilled Senior Data Scientist / Analytical Lead to join the Global Customer Success Data Science team. This full-stack analytics role focuses on building scalable data capabilities and strengthening analytical foundations across international markets. You’ll combine deep technical expertise with strong business understanding to improve how customer success is measured, managed, and delivered globally.
Technical & Data Foundations
• Build/maintain data pipelines, ETL, and cloud data environments.
• Define/govern consistent international metrics.
• Deliver scalable, multi-region analytics solutions.
• Automate reporting, validation, and metrics (SQL, Python/R, modern data tools).
Advanced Analytics & Reporting
• Develop clear dashboards (Tableau, Power BI, Looker, Qlik).
• Conduct deep-dive analysis on customer pain points and inefficiencies.
• Support experimentation/A/B testing with analytical frameworks.
Strategic Influence
• Translate complex data into actionable recommendations for customer journeys and operations.
• Communicate insights to technical and non-technical stakeholders, including leadership.
• Partner with Product, CX, and Operations to shape global market strategy.
What You’ll Bring
• 8+ years in Data Analytics or Data Science, ideally within Customer Success, Operations, or Digital Experience.
• Expert SQL and strong Python or R skills.
• Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark).
• Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred).
• Experience with call centre or digital support KPIs is a plus.
• Exceptional communication, stakeholder influence, and project management skills.
• A proactive, growth-oriented mindset.
Why Join?
You’ll become part of a world-class team dedicated to transforming customer success on a global scale. In this role, you’ll influence strategy across multiple markets, build high-impact analytical capabilities, and shape customer experiences for millions of users. If you thrive in a fast-paced environment, enjoy solving complex problems, and want to make a meaningful impact—this opportunity is for you.
Senior Data Analytical Lead – Global Customer Success
Location: London, UK
Industry: Leading Global Financial Services Client
Contract: 10 months contract
Day Rate: £260 to £277.73 umbrella
About the Role
We are seeking a highly skilled Senior Data Scientist / Analytical Lead to join the Global Customer Success Data Science team. This full-stack analytics role focuses on building scalable data capabilities and strengthening analytical foundations across international markets. You’ll combine deep technical expertise with strong business understanding to improve how customer success is measured, managed, and delivered globally.
Technical & Data Foundations
• Build/maintain data pipelines, ETL, and cloud data environments.
• Define/govern consistent international metrics.
• Deliver scalable, multi-region analytics solutions.
• Automate reporting, validation, and metrics (SQL, Python/R, modern data tools).
Advanced Analytics & Reporting
• Develop clear dashboards (Tableau, Power BI, Looker, Qlik).
• Conduct deep-dive analysis on customer pain points and inefficiencies.
• Support experimentation/A/B testing with analytical frameworks.
Strategic Influence
• Translate complex data into actionable recommendations for customer journeys and operations.
• Communicate insights to technical and non-technical stakeholders, including leadership.
• Partner with Product, CX, and Operations to shape global market strategy.
What You’ll Bring
• 8+ years in Data Analytics or Data Science, ideally within Customer Success, Operations, or Digital Experience.
• Expert SQL and strong Python or R skills.
• Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark).
• Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred).
• Experience with call centre or digital support KPIs is a plus.
• Exceptional communication, stakeholder influence, and project management skills.
• A proactive, growth-oriented mindset.
Why Join?
You’ll become part of a world-class team dedicated to transforming customer success on a global scale. In this role, you’ll influence strategy across multiple markets, build high-impact analytical capabilities, and shape customer experiences for millions of users. If you thrive in a fast-paced environment, enjoy solving complex problems, and want to make a meaningful impact—this opportunity is for you.






