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QA Data Analyst

Bengaluru, Karnataka, India

Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics.

Overview

​​We are an AI-powered analytics platform helping businesses make smarter and faster decisions through data. As we grow our Quality Assurance and Data team, we are looking for curious, data-driven individuals who are excited to explore the world of analytics with a quality mindset.

This role is ideal for freshers or early-career professionals who want to build a strong foundation in data validation, exploratory analysis, and QA, with exposure to real-world business use cases and a pathway toward data or QA specialization.

 Key Responsibilities:

Data Analysis & Validation (Primary Focus – 70%)

  • Understand and validate analytics outputs using business rules, aggregation logic, and data consistency checks

  • Perform data quality checks on structured and unstructured data sources (e.g., Excel, CSV, Google Drive, Slack).

  • Use Excel and write basic SQL queries to validate backend transformations and business KPIs.

  • Analyze trends, anomalies, and inconsistencies in the platform’s output to ensure accuracy.

  • Work closely with Product and Data teams to ensure alignment between business logic and platform results.

  • Assist in documenting test scenarios and edge cases from a data perspective.

Manual QA & Product Testing (30%)

  • Design and execute test cases to validate visualizations, dashboards, filters, and search-based analytics features.

  • Conduct functional and exploratory testing across web browsers and devices.

  • Identify and report bugs with detailed steps, reproducibility notes, and clear logs using tools like JIRA.

  • Collaborate with Engineering to clarify issues and support quick resolution.

 Exposure to QA Automation (Good to Have)

  • Get introduced to automation tools like Cypress and basic test scripting.

  • Contribute to regression test planning under guidance.

  • Understand where automation fits in the product testing lifecycle and CI/CD flow.

Required Qualifications:

  • 0–2 years of experience in data analysis, software testing, or relevant academic/internship projects.

  • Bachelor’s degree in Computer Science, Statistics, Information Systems, Mathematics, or a related field.

  • Strong analytical mindset, attention to detail, and a passion for working with data.

  • Good communication and documentation skills.

  • Willingness to learn tools for data analysis and quality validation.

 Preferred (Nice to Have):

  • Working knowledge of SQL, Excel, or Python.

  • Familiarity with BI tools like Power BI, Tableau, or Looker.

  • Exposure to QA tools such as JIRA, Postman, or basic scripting with Cypress.

  • Understanding of structured vs. unstructured data sources.

 Why Join Us:

  • Work at the intersection of data analytics and quality assurance in a cutting-edge product environment.

  • Opportunity to grow into roles such as Data Analyst, Product QA, or QA Automation Engineer.

  • Gain hands-on experience with real datasets, business metrics, and modern web technologies.

  • Be part of a collaborative team culture with strong mentorship and continuous learning.

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