Data Analyst

Who you are

• 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
• 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

What the job involves

• 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 CI&T professionally
• 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