Remote QA Data Analyst: Precision Analytics

Naukri Mitra; United States; Remote; USD 68,000 - 83,000; Full time

Job summary

Naukri Mitra is seeking a Remote QA Data Analyst to safeguard data integrity and ensure reliable BI outputs from the comfort of your home. You will validate datasets, audit ETL processes, and collaborate with engineers to correct issues.

The role emphasizes cross-functional collaboration, documentation, and ongoing QA improvements, with opportunities to contribute to data strategy across the organization.

Qualifications

• 3+ years of experience in data quality assurance, preferably in a remote or distributed setting.
• Strong proficiency in SQL and familiarity with analytics platforms (Tableau, Power BI, Looker).
• Proven ability to perform QA tasks with high precision and accountability.
• Comfortable working with remote teams and using collaborative platforms like Slack and Jira.

Responsibilities

• Data Validation & Quality Assurance: Review and audit datasets for accuracy, completeness, and consistency across multiple data sources. Implement QA protocols for ETL processes, ensuring smooth data migration and transformation workflows.
• Analytics Support & Insights Accuracy: Work alongside business analysts to verify key metrics and support accurate reporting. Validate SQL queries, dashboards, and KPIs used across departments.
• Documentation & Collaboration: Maintain documentation on QA procedures and issue resolution workflows. Communicate with cross-functional teams to ensure quality benchmarks are met.

Skills

SQL proficiency

Remote work experience

Attention to detail

Tools

Tableau

Power BI

Looker

TestComplete

Apache JMeter

Python

R

Slack

Jira

Snowflake

Redshift

BigQuery

Job description

Naukri Mitra is seeking a Remote QA Data Analyst to safeguard data integrity and ensure reliable BI outputs from the comfort of your home. You will validate datasets, audit ETL processes, and collaborate with engineers to correct issues.

The role emphasizes cross-functional collaboration, documentation, and ongoing QA improvements, with opportunities to contribute to data strategy across the organization.