Data Visualization Specialist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Visualization Specialist in India.

This role is focused on transforming complex financial and machine learning data into intuitive, high-impact visual experiences that enable faster and smarter decision-making. You will work at the intersection of data engineering, analytics, and AI to design next-generation dashboards and insight-driven interfaces. The position goes beyond traditional BI reporting, emphasizing predictive analytics, real-time data visualization, and AI-powered storytelling. You will collaborate closely with data scientists and ML engineers to translate model outputs into clear, actionable visual insights. The environment is fast-paced, innovation-driven, and highly data-intensive, requiring both technical depth and strong design thinking. This is a unique opportunity to shape how advanced analytics and AI insights are consumed across a global organization.

In this role, you will design, develop, and optimize advanced visualization systems that integrate real-time data, machine learning outputs, and scalable BI architecture to support enterprise decision-making.

• Design and build scalable, low-latency dashboards using tools such as Power BI, Tableau, and Looker
• Develop AI-powered visualization layers that surface machine learning outputs such as churn prediction, LTV forecasting, clustering, and anomaly detection
• Integrate dashboards with data warehouses like Snowflake, Amazon Redshift, and Google BigQuery, as well as streaming systems such as Apache Kafka and Amazon Kinesis
• Implement semantic data models and metric layers using tools like dbt or LookML to ensure consistency and governance
• Build natural language query interfaces using LLM APIs such as OpenAI or AWS Bedrock for conversational analytics
• Develop automated insight generation systems that highlight trends, anomalies, and actionable recommendations using NLP techniques
• Optimize dashboard performance through efficient SQL design, caching strategies, and scalable data modeling
• Collaborate with ML engineers to accurately represent uncertainty, confidence intervals, and predictive outputs in visual formats
• Establish and maintain data governance practices, including metric validation, lineage tracking, and monitoring frameworks
• Integrate visualization solutions with backend APIs and analytics services for real-time updates

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Requirements

This role requires strong expertise in data visualization, advanced SQL, and modern data stacks, along with the ability to translate machine learning outputs into clear, actionable business insights.

• Strong experience with BI tools such as Power BI, Tableau, or Looker
• Advanced SQL skills with experience handling large-scale, high-volume datasets
• Experience working with modern data warehouses such as Snowflake, Redshift, or BigQuery
• Familiarity with data transformation tools like dbt and semantic modeling approaches
• Exposure to streaming and real-time data systems such as Kafka or Kinesis
• Experience working with Python for data manipulation and light backend integration (pandas, NumPy)
• Understanding of machine learning concepts such as classification, regression, clustering, and anomaly detection
• Experience integrating LLMs or NLP-based systems into analytics or reporting workflows
• Strong knowledge of data modeling techniques (star and snowflake schemas) and performance optimization
• Experience embedding dashboards and integrating APIs into internal platforms
• Strong analytical thinking, problem-solving ability, and attention to detail
• Excellent communication skills with the ability to translate technical insights into business value

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Benefits

• Competitive salary with performance-based incentives
• Opportunity to work on cutting-edge AI-powered analytics and visualization systems
• Exposure to large-scale, real-time financial data environments
• Career growth opportunities within a global, high-growth organization
• Dynamic and international work environment
• Strong focus on innovation, experimentation, and advanced analytics
• Opportunity to work with modern data and AI technologies at scale
• Inclusive and collaborative workplace culture