£277 Per day
Undetermined
Undetermined
City of London, UK
Summary: The Business Data Analyst role is a contract position based in London, UK, focusing on integrating Generative AI into customer success workflows for a leading financial technology organization. The position requires a proactive analyst with extensive experience in data analytics and a passion for AI-native analytics. The role emphasizes building robust data pipelines and leveraging advanced analytics to enhance customer journeys across global markets. Candidates should be prepared to translate complex data into actionable insights for senior stakeholders.
Key Responsibilities:
- Build AI-Native Foundations: Work with engineering to develop robust data pipelines in Snowflake/Databricks that are optimized for downstream AI consumption.
- Drive International Strategy: Tailor data capabilities for diverse global markets, ensuring metrics account for regional regulatory and language differences.
- Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation.
- Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points and optimize digital support experiences.
- Storytelling: Translate complex datasets into clear, persuasive narratives for senior stakeholders to influence global operational strategy.
Key Skills:
- Experience: 8+ years in Data Analytics or Data Science (Customer Success or Ops experience is a major plus).
- Technical Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik.
- Coding: Proficiency in Python or R for automation and advanced experimentation.
- The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses AI tools to accelerate their own analytical workflows.
- Mindset: Proactive, growth-oriented, and comfortable in a fast-paced, high-innovation environment.
Salary (Rate): £277 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Role: Business Data AnalystLocation: London, UK
Role Type: Contract
Duration: 6 months
Are you a Senior Data Analyst who is tired of just "maintaining" dashboards?
Our client is looking for a forward-thinking analyst to join a Global Customer Success Data Science team for a world-leading financial technology organization.
This isn't a traditional reporting role. You will be part of a team that is actively embedding Generative AI into core workflows to automate insights and enhance the customer journey across multiple global markets. If you are passionate about moving beyond manual data prep and into the world of AI-native analytics, this is the role for you.
What You'll Do- Build AI-Native Foundations: Work with engineering to develop robust data pipelines in Snowflake/Databricks that are optimized for downstream AI consumption.
- Drive International Strategy: Tailor data capabilities for diverse global markets, ensuring metrics account for regional regulatory and language differences.
- Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation.
- Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points and optimize digital support experiences.
- Storytelling: Translate complex datasets into clear, persuasive narratives for senior stakeholders to influence global operational strategy.
What You'll Bring
- Experience: 8+ years in Data Analytics or Data Science (Customer Success or Ops experience is a major plus).
- Technical Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik.
- Coding: Proficiency in Python or R for automation and advanced experimentation.
- The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses AI tools to accelerate their own analytical workflows.
- Mindset: Proactive, growth-oriented, and comfortable in a fast-paced, high-innovation environment.
Apply: If you are interested then please apply or share your updated CV on yogeshwari .sen @randstad digital .com with your availability and I will give you a call back to discuss the role further.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.