About the role:
Analyst Studio is a collaborative data platform developed by ThoughtSpot that empowers data teams to accelerate the transformation of raw data into actionable insights. It provides a unified environment where users can seamlessly prepare data for AI, perform ad hoc analysis, and manage data and costs—all within an integrated platform.
- Data Preparation for AI
- Integrated Analytics Workflow
- Advanced Analytics with R and Python Notebooks
- Data Management and Cost Optimization
What you’ll do:
- Development of complex projects in Java, postgreSQL, SQS, Dynamo DB
- Design and implement scalable backend systems that process and manage large volumes of customer data
- Analyse and improve the efficiency, scalability, and reliability of our backend stack
- Write robust code and write functional, performance, and system test suites
- Utilise AWS services to build robust cloud-based solutions
- Work as a member of a team, helping the team respond quickly and effectively to business needs
- Collaborate with cross-functional teams, including product, design, and QA, to deliver high-quality products
- Proactively identify and resolve technical challenges
- Stay current with AI trends and incorporate them into our solutions
What you will bring:
- 4+ years of professional experience in software engineering
- Proficiency in Java and object-oriented programming principles
- Experience with relational databases
- Experience working with NoSQL database patterns
- Experience building distributed and scalable systems
- Awareness of message queuing systems
- Strong grasp of software engineering best practices
- Excellent problem-solving skills and ability to troubleshoot complex issues
- Ability to work independently and as part of a team
Bonus skills:
- Experience working on cloud platform like AWS
- Knowledge of agile development methodologies
- Experience with Dropwizard for building RESTful APIs
- Familiarity with DuckDB for analytical queries
Hybrid work at ThoughtSpot:
This office-assigned role is available as a hybrid position. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office requirement of at least three days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
What makes ThoughtSpot a great place to work?
ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. We hire people with unique identities, backgrounds, and perspectives—this balance-for-the-better philosophy is key to our success. When paired with our culture of Selfless Excellence and our drive for continuous improvement (2% done), ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.
ThoughtSpot for All
Building a diverse and inclusive team isn't just the right thing to do for our people, it's the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive.
Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
