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Data Visualization Specialist

GeneralGeneralFull TimeRemoteSeniorTeam 501-1,000Since 2005H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

87 days ago

Salary

0

Seniority

Senior

Job Description

Data Visualization Specialist

MultiBank Group

• 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.

Job 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.

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.

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