Senior Data Analyst: A/B Testing & BI (Hybrid, London)

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

Senior Data Analyst

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. This is a hybrid role requiring 3-4 days per week on-site at the client's Central London offices (Euston area).

Position Overview

A/B Testing & Statistical Analysis

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

Business Intelligence & Data Modeling

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

Data Governance & Collaboration

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

Must Haves

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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Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

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