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.
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.
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.
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.
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.
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.
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.
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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What We Do
Tellius is leading the era of decision intelligence with a guided insights platform powered by machine learning so anyone can uncover the 'what' and the 'why' in the data. Created by a team with deep expertise in big data analytics and automated intelligence, Tellius accelerates data-driven insight and decision making for many industries such as pharmaceuticals, financial services, consumer goods, and high technology, and across many departments such as sales, marketing, and operations. Founded in 2016, Tellius is Series A funded, fast growing startup headquartered in Reston, Virginia, with additional locations in San Francisco, California, and Bangalore, India.
