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Salary
≈ $8k – $21k per year (Estimated)
Location
In office (Chennai)
Experience
4+ years exp

First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match
Random Trees is a technology company that builds enterprise AI and generative AI solutions for automation, analytics and digital transformation. It hires AI and machine learning engineers, data engineers, data modelers and full stack developers with MLOps, cloud and data platform skills. The company is based in the United States, with delivery teams in Bengaluru, Hyderabad, Chennai and Gurgaon.

About the role:

We are looking for a detail-oriented Data QA Analyst to validate data accuracy and consistency across dashboards, reports, and internal data systems.

The role involves performing data quality checks, identifying discrepancies, executing test cases, and collaborating with analytics and stakeholder teams to ensure reliable data outputs.

Responsibilities:

- Perform daily and weekly data quality checks across dashboards, reports, and internal data structures.

- Validate campaign performance and event data received from multiple channel partners.

- Compare raw data with processed outputs to identify inconsistencies, discrepancies, and data quality issues.

- Execute test cases, document results, and maintain standardized QA records.

- Collaborate with analytics and stakeholder teams to report defects, investigate issues, and validate fixes.

- Support ad-hoc data validation and reporting requirements.

- Identify opportunities to improve data validation processes and QA practices.

Requirements:

- Bachelor's degree in Digital Marketing, Mathematics, Statistics, Computer Science, or a related field.

- 4 - 7 years of experience as a Data Analyst, QA Analyst, or in a similar data quality-focused role.

- Strong proficiency in SQL, Excel, and Power BI.

- Experience validating datasets, reports, dashboards, and data processing outputs.

- Strong analytical, problem-solving, and data presentation skills.

- Excellent attention to detail, organizational skills, and time management.

- Good communication and collaboration skills to work effectively with onshore and offshore teams.

Skills

Data Quality, SQL, Power BI, Software Quality Assurance, Data Validation, Reporting Analytics, Analytics Dashboards, Test Analyst

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