Data Visualization Specialist

Overview

MultiBank Group

Role Overview

Key Responsibilities

• Design and build
• scalable, low-latency dashboards
• that ingest data from data warehouses (e.g., Snowflake, Redshift, BigQuery) and real-time pipelines (e.g., Kafka, Kinesis).
• Develop
• AI-integrated visualization layers
• that surface outputs from machine learning models such as churn prediction scores, LTV forecasts, behavioral clustering and anomaly detection signals.
• Implement
• semantic data layers
• and metric definitions using tools like dbt or LookML to ensure consistency across reporting.
• Build
• natural language interfaces
• on top of dashboards using LLMs (e.g., OpenAI APIs, AWS Bedrock) to enable business users to query data conversationally.
• Develop
• automated insight generation systems
• that summarize trends, highlight anomalies, and recommend actions using NLP/LLMs.
• Optimize dashboard performance through efficient query design, caching strategies, and incremental data models.
• Integrate visualization tools with backend APIs and ML services to enable dynamic, real-time updates.
• Partner with ML Engineers to interpret model outputs and design visualization patterns that reflect uncertainty, confidence intervals, and predictions accurately.
• Establish
• data governance practices
• including lineage tracking, metric validation, and monitoring.

Technical Requirements

• Advanced proficiency in
• BI tools
• (Power BI, Tableau, Looker) with experience embedding dashboards and customizing via APIs.
• Strong SQL with experience optimizing complex queries across large-scale datasets (billions of rows).
• Experience working with modern data stacks, including cloud data warehouses (Snowflake, Redshift, BigQuery), data transformation frameworks (dbt), and streaming platforms (Kafka, Kinesis).
• Familiarity with
• Python for data manipulation
• (pandas, NumPy) and light backend integration.
• Exposure to
• ML outputs and statistical concepts
• (classification, regression, clustering, anomaly detection).
• Experience integrating

LLMs / NLP pipelines

• into reporting workflows.
• Understanding of
• data modeling (star/snowflake schemas)
• and performance tuning.
• Experience with
• API integrations
• and embedding analytics into internal platforms.

Why Join Us?

• *Work with one of the world’s leading financial derivatives institutions.*
• *Competitive salary plus performance-based incentives.*
• *Access to a dynamic, international, and fast-growing environment.*
• *Strong opportunities for career progression within a global financial group.*
• Be part of a business committed to innovation, excellence, and long-term growth.
• *Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.*