Senior Analyst – Data Analytics and Visualization

Overview

Transform complex data and business questions into actionable insights, intuitive analytics products, and compelling visual stories that enable better decision-making. The role partners with cross-functional stakeholders across Commercial, Finance, Marketing, Product, Supply Chain, and Operations.

What you'll do

• Design and maintain interactive dashboards, scorecards, and analytics solutions using Power BI, Tableau, or similar platforms.
• Apply visualization, UX, and data storytelling best practices to translate complex data into intuitive, executive-ready insights.
• Develop effective KPIs, drill-downs, filters, and visual interactions that support business decision-making.
• Optimize dashboards and data models for performance, scalability, usability, and consistency.
• Analyze complex datasets to identify trends, performance drivers, risks, opportunities, and anomalies.
• Use SQL and Python/R for data extraction, transformation, analysis, validation, and automation.
• Translate analytical findings into clear business insights, narratives, and actionable recommendations.
• Convert recurring analysis into scalable dashboards, automated reporting, and self-service analytics.
• Partner with stakeholders to translate business needs into analytics, KPI, and visualization requirements.
• Define and standardize metrics, calculations, and reporting logic in collaboration with business teams.
• Communicate insights and recommendations effectively to technical, non-technical, and senior stakeholders.
• Gather feedback and continuously improve analytics products based on business needs and user adoption.
• Develop and maintain data models, transformations, and analytical datasets supporting BI solutions.
• Partner with data engineering and analytics teams to ensure reliable, scalable, and high-quality data solutions.
• Support data quality, validation, governance, lineage, and documentation standards.
• Drive automation, standardization, reusable components, and self-service analytics, while exploring AI-enabled analytics opportunities.

What you'll need

• Bachelor's degree in Computer Science, Information Technology or a related field.
• 5+ years of experience in Data Analytics, Business Intelligence, Data Visualization.
• Advanced hands-on experience with Power BI, Tableau, or similar BI platforms, including dashboard and executive reporting development.
• Strong proficiency in SQL, data analysis, data modeling, and working with complex datasets.
• Experience with Python/R and modern cloud/data platforms such as Azure, AWS, Databricks, Snowflake, or equivalent.
• Strong ability to translate business requirements and complex data into actionable insights, intuitive visualizations, and compelling data stories.
• Excellent analytical, communication, presentation, and stakeholder-management skills.

Nice to have

• Experience developing executive dashboards, scorecards, and self-service analytics solutions in a global, cross-functional environment.
• Experience supporting Commercial, Finance, Marketing, Pricing, Market Intelligence, Supply Chain, Operations, or Product Analytics.
• Exposure to Microsoft Fabric, Databricks, Snowflake, or other modern analytics platforms.
• Exposure to Generative AI, AI-enabled BI, predictive analytics, or advanced analytics.
• Relevant certifications in Power BI, Tableau, cloud, or data analytics technologies.

Details

• Location: Pune, Maharashtra, India.
• Job function: Data Analytics & Computational Sciences; sub-function: Business Intelligence; category: Professional.