Data Architect (Fully Remote)

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working towards a worldwide ambition. Fuelling our growth with a knowledge worker culture, we partner with clients to provide authentic, value-led, and high-quality solutions.

We are looking for a seasoned Analyst and Data Visualisation Expert to support our data science and analytics team, focusing on Direct To Consumer data products.

The ideal candidate is a great storyteller and a strong technical contributor with experience solving business problems using data-driven tools. You will be responsible for delivering analytical products such as analyses, dashboards, insights, and recommendations, with a special focus on clickstream data. Your role involves collecting, analyzing, and presenting data to enhance strategic decision-making and to track benefits derived from data products. A high level of curiosity about the business and the ability to discover impactful insights from data are essential. Responsibilities include :

• Conducting analysis to estimate the expected value of data products.
• Measuring and tracking benefits created by data products, translating them into financial or key KPI metrics.
• Supporting business stakeholders and regional data analysts by understanding their needs and providing guidance.
• Creating dashboards to monitor adoption and business impact of launched features and data products.
• Diving deep into complex business problems and providing insights on digital features and AI model performance through hypothesis testing.
• Partnering with data science, analytics, and product managers for planning, goal setting, and prioritization.
• Collaborating with data and engineering teams to improve instrumentation, reporting, and debugging.
• Working with A / B test teams to design experiments and analyze results.
• Bringing data to life through storytelling to audiences with varying technical expertise, informing strategic decisions.
• Promoting a culture of data-driven technical excellence, ownership, and collaboration.

Qualifications include :

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