Senior Solution Analyst

ThoughtSpot ThoughtSpot · Data AI · Bangalore, India

This role is for a Senior Solution Analyst focused on designing, implementing, and delivering Business Intelligence (BI) solutions for enterprise customers using ThoughtSpot's platform. While the company emphasizes AI literacy and integration for all employees, the core function of this role is BI solution delivery, not direct AI/ML model development. The role requires strong technical skills in BI tools, data platforms, and SQL, along with customer-facing and problem-solving abilities. The company positions itself as an 'Agentic Analytics Platform', indicating a mature use of AI within its product offerings.

What you'd actually do

  1. Lead the design and delivery of ThoughtSpot solutions for our global clients.
  2. Serve as a trusted technical advisor to internal and customer teams, providing expert guidance on ThoughtSpot solutions and integration with modern data stack.
  3. Deliver comprehensive technical expertise, ensuring ThoughtSpot solutions meet client business objectives and BI/Analytics requirements.
  4. Consult/Advise customers on Thoughtspot’s latest and greatest capabilities, ensuring impactful implementation and adoption of new features.
  5. Design and optimize ThoughtSpot solutions for performance, scalability, and security.

Skills

Required

  • 5+ years of experience in implementation, solutions consulting, or similar technical customer-facing roles.
  • Proven experience managing complex data and analytics implementations.
  • Strong technical knowledge in BI tools and data platforms (e.g., Tableau, Qlik, PowerBI, Snowflake, Databricks, Redshift, Google BigQuery).
  • Excellent communication and problem-solving skills.
  • Ability to understand client objectives and translate them into effective technical Solutions.
  • Experience collaborating with Sales, Product Management, and Engineering teams.
  • Hands-on experience with SQL and data modeling.
  • Strong familiarity with cloud platforms (AWS, GCP , Microsoft Azure) and data transformation tools (Matillion, Fivetran, Talend).
  • Hands-on experience with data warehousing ecosystems (e.g., data sources, ETL, data warehouse, data marts) and understanding of different types of schemas (OLTP vs. OLAP , snowflake, etc.).
  • Bachelor’s degree in a relevant field.
  • Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
  • Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
  • Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
  • Write effective prompts to get the most accurate and creative results from AI tools.
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

Nice to have

  • Familiarity with ETL tools (such as Alteryx, Datameer, Informatica, Talend, SSIS, DataStage, Kettle)
  • Knowledge and experience with deployment architectures on-premises and in cloud environments like AWS, Azure, and Google Cloud.
  • Enjoy the start-up environment, and can wear your hat in any direction.
  • Documentation and process-oriented; you want to help build the foundation for our Technical architects professional services team
  • Experience with programming and scripting languages (Python, JavaScript).
  • Advanced certifications in relevant technologies and platforms.

What the JD emphasized

  • AI literacy and workflow integration
  • Hands-on experience to leverage AI tools
  • Speak to the experience of using AI for research, content creation, and document summarization
  • Write effective prompts to get the most accurate and creative results from AI tools.
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary