Data Analyst

We are a leading Data Agentic AI company revolutionizing enterprise data analysis, governance, and management with Gen AI. Recognized by Forbes and VentureBeat, our cutting-edge multi-intent AI agents are transforming how businesses make data-driven decisions. If you thrive on innovation, solving complex problems, and making high-impact contributions, we’d love to have you on board.

As a Data Analyst, you’ll play a key role in testing, improving, and supporting our AI-driven data analytics platform. This role combines hands-on SQL work, analytical problem-solving, and direct collaboration with both product and client success teams. Your mission: help us enhance the performance, explainability, and accuracy of our AI data agents.

You’ll use your data expertise to investigate AI-generated SQL, trace issues back to their root cause, and drive meaningful improvements across the product.

• Use your analytics skills to test and troubleshoot our NL-to-SQL AI agent, identifying root causes when queries are inaccurate or underperform.
• Simulate real-world usage by thinking like a client—evaluating accuracy, explainability, and output quality.
• Validate AI-generated SQL by comparing it to expected results, identifying where the AI misunderstood the intent or schema.
• Follow the AI’s explanation path and semantic logic to trace missteps and propose targeted fixes.
• Design scalable, automated test cases using synthetic and predefined datasets across data warehouses like Snowflake, BigQuery, Databricks, and Redshift.
• Document recurring edge cases and misinterpretation patterns to inform continuous improvement.

• Support clients by resolving AI query issues through deep investigation of their data models, schemas, and query outputs.
• Triage and resolve issues reported via a ticketing system, providing clear explanations and solutions.
• Help onboard new clients and ensure seamless AI integration with their data environments.
• Use client feedback to uncover common pain points and guide product enhancements that improve real-world performance.

• Collaborate with the product team to enhance the tool’s accuracy, transparency, and reasoning quality.
• Analyze and improve how the AI explains its logic, ensuring the resulting SQL aligns with user intent and semantic structure.
• Recommend refinements to the JSON-based semantic layer, helping the AI handle complex, ambiguous, or domain-agnostic queries.
• Propose rule-based improvements to query generation based on observed patterns and real-world data scenarios.
• Contribute to competitive analysis to benchmark against other AI data agents and surface opportunities for innovation.

• 3+ years of experience as a Data Analyst or in a similar role.
• Strong SQL skills with the ability to write, debug, and optimize queries.
• Experience recognizing typical errors in business analytics, such as data inconsistencies, biases, incorrect aggregations, and schema mismatches.
• Ability to debug AI-generated SQL queries and identify common failure patterns in large complex enterprise datasets.
• Strong understanding of metrics and semantic layers
• Problem-solving mindset with a keen eye for improving AI-driven analytics accuracy and efficiency.

• Client-facing experience. 
• Experience working with LLMs or AI systems in a data analytics context.
• Understanding of testing-at-scale automation frameworks and best practices.

✅ A highly skilled, innovation-driven team shaping the future of data and AI

✅ First-hand experience building cutting-edge analytics products with Generative AI

✅ A well-funded, fast-moving company backed by top-tier investors

✅ 100% remote work with a diverse, international team

✅ Continuous learning, career growth, and high-impact opportunities from day one