Remote QA Data Analyst

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

Remote QA Data Analyst

About the Opportunity

Are you passionate about data integrity, remote analytics, and delivering actionable business intelligence? Join our team as a Remote QA Data Analyst and shape the accuracy of mission-critical insights from the comfort of your home. In this role, you will help ensure that data pipelines and reports are reliable, actionable, and aligned with the company's strategic objectives. We seek a detail-oriented professional who thrives in a collaborative, digital-first environment and is eager to contribute to a purpose-driven organization with long-term impact.

Key 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. Conduct routine checks and anomaly detection using automated scripts and manual audits. Identify root causes of data discrepancies and collaborate with engineers to implement corrections.
• 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 Confirm the integrity of datasets used in remote analytics and strategic reporting initiatives.
• Documentation & Collaboration Maintain documentation on QA procedures and issue resolution workflows Communicate with cross-functional teams, including engineering, product, and analytics, to ensure quality benchmarks are met Provide input on QA improvements, test coverage, and efficiency enhancements.

Tools and Technologies

As a Remote QA Data Analyst, you will interact with diverse tools essential for modern, data-centric quality assurance. These may include:

• SQL and data visualization platforms (Tableau, Power BI)
• QA automation tools like TestComplete or Apache JMeter
• Python or R for scripting and statistical checks
• Git-based version control systems for data documentation and collaboration
• Cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery)

Familiarity with these platforms will empower you to drive precision and speed in QA testing for structured and semi-structured data systems.

Work Environment

This role allows you to operate entirely from home, providing the freedom to manage your workspace while at home while remaining integrated with a forward-thinking, globally connected team. We use asynchronous communication methods balanced with live collaboration tools to support autonomy and engagement. Our digital-first setup ensures inclusivity and seamless workflows across time zones. You'll be part of an environment that values individual excellence and collective impact. From your home office, you’ll be critical in advancing data-driven decision-making across all departments.

Opportunities for Growth

This role is a gateway to expanding your career into leadership within remote analytics and data strategy. Team members are encouraged to:

• Take initiative on the data QA framework design
• Mentor junior QA team members on quality best practices
• Contribute to the evolution of company-wide business intelligence systems

You’ll benefit from ongoing professional development options such as certifications in analytics, QA automation, and advanced data engineering.

Qualifications

Must-Have Credentials

• 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

Preferred Experience

• Hands-on experience with data warehouse systems and cloud-based analytics tools
• Experience with programming tools such as Python or R to support QA automation
• Background in statistics, information systems, or business intelligence
• A proactive mindset with a passion for accuracy, remote collaboration, and data insights

Why This Role Matters

Our business success relies on the precision of data, and you will be central to that mission. Your role supports long-term success by:

• Ensuring that stakeholders can trust the insights driving their decisions
• Helping teams avoid costly mistakes from flawed data
• Supporting scalable and consistent data practices across remote environments
• You’re not just validating numbers—you’re safeguarding the integrity of our entire decision-making process.

What We Look For in Candidates

We seek professionals who are not only technically strong but also:

• Critical thinkers who thrive on problem-solving
• Self-motivated individuals who excel in remote settings
• Clear communicators who can document and relay data issues effectively
• Professionals with a commitment to growth and operational excellence

We value integrity, curiosity, and a shared belief in the power of accurate information to shape a better future.

Compensation and Benefits

• Annual Salary: $75,671
• Fully remote work environment with flexible hours
• Access to premium tools and enterprise-level platforms
• Paid time off and wellness days
• Professional development budget for certifications and upskilling
• Inclusion in company-wide strategic meetings and innovation sessions

Building a Global Workforce

Applications are open to professionals from the United States, Canada, United Kingdom, European Union, Australia, India, and many other international regions.