Data Visualization Specialist

📋 Description

• Design scalable, low-latency dashboards ingesting data from Snowflake/Redshift/BigQuery.
• Develop AI-visualization layers surfacing ML outputs (e.g., churn, LTV, clustering).
• Implement semantic data layers and metric definitions with dbt/LookML.
• Build natural language interfaces on dashboards using LLMs (OpenAI, AWS Bedrock).
• Develop automated insight generation that summarizes trends and suggests actions.
• Establish data governance including lineage tracking and monitoring.

🎯 Requirements

• Advanced BI tools: Power BI, Tableau, Looker with embedding.
• Strong SQL for complex queries on billions of rows.
• Modern data stack: Snowflake, Redshift, BigQuery; dbt; Kafka; Kinesis.
• Python (pandas, NumPy) with light backend integration.
• Experience with LLMs/NLP in reporting.
• Data modeling (star/snowflake) and performance tuning.

🎁 Benefits

• Work with a leading financial derivatives institution.
• Competitive salary plus performance-based incentives.
• Dynamic, international, fast-growing environment.
• Strong career progression opportunities.