Senior Tableau Analyst

Pure Storage

Bangalore, India

Full Time

Posted April 21, 2026

Not Specified

~25 people viewed this recently

Apply Now

Application opens on company website

Job Description

The Senior Tableau Analyst will design, build, and maintain dashboards and data models using Tableau and Snowflake SQL to support strategic decision-making in the monetization and data analytics teams, while exploring AI and automation opportunities to enhance analytics capabilities.

Key Responsibilities

Own and maintain the Tableau environment for Monetization and related teams, including content structure, governance, and performance optimization.
Design, build, and maintain end-to-end Tableau dashboards based on business requirements.
Develop data models and calculations in Snowflake SQL to support analytics and visualization needs.
Create and optimize data views, derived tables, and reusable data sources in Snowflake for self-service analytics and KPI consistency.
Write high-quality SQL to join large datasets, troubleshoot data issues, and improve query performance.
Implement and monitor data quality checks for dashboards, ensuring data accuracy and timeliness.
Standardize and document BI assets, including data definitions, business logic, and dashboard usage guidelines.
Apply best practices in Tableau visual design, UX, and storytelling to enhance stakeholder understanding and adoption.
Collaborate with cross-functional teams to align on data definitions and ensure dashboards support strategic decisions.
Explore and prototype AI-powered analytics solutions, translating promising ideas into production workflows.
Leverage Python for automating data preparation, integrating external data sources, and supporting advanced analytics.
Lead projects independently, provide technical guidance to analysts, and enhance data utilization in Monetization.

Requirements

5 years of hands on experience with Tableau where you were directly responsible for building dashboards from understanding the business problem and shaping the data, through to visualization, launch, and iteration.
Expert level Tableau skills, including Complex calculations LOD, table calculations, parameters, row level security, data source design, and published data models.
Performance tuning extract vs. live, query optimization, and efficient workbook design.
Strong Snowflake SQL skills, including understanding existing schemas and views for analytics, writing performant and readable SQL against large datasets, debugging joins, filters, and aggregation issues, and optimizing queries for cost and speed.
Solid data modeling and BI foundations, including KPI design and an opinionated view on what good looks like for analytical data.
High interest in AI and automation, with active followership of developments in analytics AI, and the ability to experiment with new tools and workflows, separating hype from real value.
Working knowledge of Python or a strong willingness to learn Python for data preparation, automation, and integration with analytics AI tooling.
Proven stakeholder partnership skills, with the ability to translate ambiguous business questions into structured analytical problems, explain trade-offs, and communicate insights clearly and non-technically.
Bias for ownership and action, with comfort in making progress with incomplete information, escalating risks early, working independently, and taking initiative to see work through from idea to production adoption.
Attention to detail and quality, with a focus on data accuracy, consistent definitions, and polished user experiences in dashboards.
Collaborative mindset, willing to share knowledge, coach others on Tableau and SQL, and contribute to a strong data culture across Monetization and the wider organization.
Ability and willingness to work in an in-office environment at the Bengaluru office, in compliance with company policies.