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.