Data Analyst FTC

At the company, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We're seeking a Senior Data Analyst to join our client's team in Central London. You'll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions. This is a client-facing position where you'll work embedded within the client's team, requiring strong autonomy, initiative, and the ability to represent the company professionally. This is a hybrid role requiring 3-4 days per week on-site at the client's Central London offices (Euston area).

• Design, implement, and analyze A/B tests to measure product and feature performance
• Apply statistical methods to ensure test validity and generate actionable insights
• Present findings and recommendations to stakeholders

• Design, build, and optimize semantic data models in Power BI for self-service analytics and enterprise reporting
• Develop and maintain high-performance Power BI dashboards, reports, and datasets
• Partner with data engineering teams to define and validate data pipelines in Databricks
• Ensure seamless integration between data sources and BI models

• Collaborate with cross-functional teams to translate business requirements into scalable BI solutions
• Implement best practices in data governance, performance optimization, and security
• Monitor and resolve data quality, integrity, and dashboard performance issues
• Act as a trusted advisor to client stakeholders on data analytics matters

• Power BI Expertise: 3+ years developing enterprise-level dashboards and semantic data models
• Statistical Analysis:
  Strong capability in experimental design, A/B testing methodologies, and statistical inference
• Technical
  
  Skills:
  
  Advanced SQL for complex queries and data manipulation
• Python for data analysis and automation (pandas, numpy, scipy, etc.)
• Data Engineering Knowledge:
  Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks)
• Data Visualization:
  Proven ability to transform complex data into clear, compelling visual narratives
• Communication:
  Excellent stakeholder management and presentation skills; fluent English (written and verbal)
• Working Style:
  Demonstrated autonomy, initiative, and ability to work independently in client environments

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