Data Visualization Specialist

Multibank Group

5h

About The Position

This role focuses on building the next generation of AI-powered insights, going far beyond traditional dashboards. Working with real-time data and machine learning outputs, you will create intuitive, high-impact visual products that enable faster, smarter decision-making across the business. The position is centered on turning complexity into clarity — surfacing trends, anomalies, and predictive signals in a way that drives action. With full ownership of the visualization layer, you will shape how data is consumed at scale, introducing new tools, ideas, and intelligent reporting approaches in a fast-paced, high-growth environment.

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 : Warehouses: Snowflake, Redshift, BigQuery Transformation: dbt Streaming: 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.

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 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed