AI Data Visualization Specialist

PURPOSE OF THE ROLE

• Create visual depictions of text-based and numerical data, transforming complex information into actionable insights.

• Design and develop interactive data visualizations that reveal patterns, trends, and correlations across diverse datasets.

• Develop, test, and refine prompts for AI systems (such as Copilot) to enable advanced querying and analysis of both structured (databases, spreadsheets) and unstructured (documents, emails, text) data.

KEY RESPONSIBILITIES

Data Mapping: Systematically identify, catalog, and understand all relevant data sourcesstructured (databases, spreadsheets) and unstructured (documents, emails, text)to ensure comprehensive coverage and accessibility for analysis and AI-driven querying. Prompt

Creation & Optimization: Develop, test, and refine prompts for AI models (such as Copilot AI) that leverage the full breadth of your database. Ensure prompts are designed to extract meaningful insights from all available data, maximizing relevance and effectiveness for business needs.

Data Visualization: Collect, clean, validate, and preprocess data to ensure accuracy and integrity. Analyze data to uncover patterns, trends, and correlations using statistical and data mining techniques.

Cross-functional Collaboration: Work with R&D, IT, marketing, and commercial teams to validate insights, confirm data accuracy, and ensure solutions meet business objectives.

AI Adaptation: Configure and adapt Copilot AI in a local environment, focusing on prompt strategies that maximize the value of internal data assets.

BEHAVIORAL COMPETENCIES

We believe data visualization is a critical visual communication tool for working, but it isnt easy to master with platforms like Flourish and the demands of effective data storytelling. In addition, as management teams face an ever-growing volume of information, it is essential to create powerful prompts that enable them to quickly access, interpret, and act on both structured and unstructured data.

• Ability to systematically identify, catalog, and understand all relevant data sourcesstructured (databases, spreadsheets) and unstructured (documents, emails, text). • Experience with data integration, migration, transformation, and ensuring data integrity across systems.

• Familiarity with ETL tools, data mapping software, and data lineage documentation. Data Management & Visualization Skills:

• Experience in aggregating, cross-validating, and visualizing data from multiple sources, with a focus on advanced natural language processing and data storytelling. Analytical Thinking:

• Experience in aggregating, cross-validating, and visualizing data from multiple sources, with a focus on advanced natural language processing and data storytelling. Communication:

• Strong written and verbal communication skills in English, with the ability to explain technical concepts to non-technical stakeholders. Technical Background:

• Experience in analytics, data presentation, business intelligence, and equivalent roles.

• Familiarity with visualization libraries (Charts, Canvas, d3, three.js) and prompt engineering tools.

TECHNICAL COMPETENCIES

• Python

• Power BI

• Azure

• Tableau

• Azure AI Foundry

• Copilot Studio

• Prompt Engineering

REQUIREMENTS

Bachelors degree in a relevant field (e.g. computer science, data science, etc.). Experience Minimum of 3 to 5 years of experience in a similar role.