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Senior Tableau Analyst

Pure Storage
Bangalore, India
Full Time
Posted February 4, 2026
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Job Description

The role involves designing and maintaining Tableau dashboards and Snowflake SQL data models to support data-driven decision-making in monetization strategies, with a focus on data visualization, automation, and AI integration, primarily in an in-office Bengaluru environment.

Key Responsibilities

  • Own and manage the Tableau environment, including content structure, governance, performance tuning, and best practices.
  • 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.
  • Create and optimize data views, derived tables, and reusable sources in Snowflake for self-service analytics.
  • Write high-quality SQL to join large datasets, troubleshoot data issues, and improve query performance.
  • Implement and maintain data quality checks for dashboards, ensuring data accuracy and freshness.
  • Standardize and document BI assets, including data definitions, business logic, and dashboard guidelines.
  • Apply Tableau best practices to enhance visual design, UX, interactivity, and storytelling for stakeholder engagement.
  • 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.
  • Act as a senior individual contributor, leading projects independently and providing technical guidance to others.

Requirements

  • Five (5) years of hands-on experience with Tableau, including responsibility 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 such as LOD (Level of Detail), table calculations, parameters, row-level security, data source design, and published data models.
  • Experience with performance tuning of Tableau workbooks, including extract versus live data sources, query optimization, and efficient dashboard design.
  • Strong Snowflake SQL skills, with the ability to quickly understand existing schemas and views for analytics, write performant and readable SQL against large datasets, debug joins, filters, and aggregation issues, and optimize queries for cost and speed.
  • Solid data modeling and BI foundations, including KPI design and a clear understanding of what constitutes good 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, integration with analytics AI tooling, and supporting advanced analytics or experimentation.
  • Proven stakeholder partnership skills, with the ability to translate ambiguous business questions into structured analytical problems, explain trade-offs, and communicate insights clearly to non-technical stakeholders.
  • 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, with willingness 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 from the Bengaluru office in compliance with company policies, unless on PTO, work travel, or other approved leave.

Benefits & Perks

Flexible time off
Wellness resources
Company-sponsored team events
Opportunities for growth and development
Inclusive and diverse work environment
Support for accommodations for candidates with disabilities

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