Data Analyst with Testing

🌟 Data Analyst (Data Testing / QA)
📍 Location: Remote (US)
📄 Contract: W2 only (No C2C)
⏳ Duration: Long-term contract
🧑‍💻 Experience: 5 to 7 years

🔑 Job Summary
We are looking for an experienced Data Analyst with strong testing skills to analyze data, validate data quality, and test data pipelines, reports, and dashboards. You will work with business and technical teams to make sure the data is accurate, complete, and reliable for decision-making.

📌 Key Responsibilities
Analyze large datasets to find trends, issues, and insights
Write and run complex SQL queries to validate and reconcile data
Create test plans, test cases, and test scenarios for data and reports
Perform data validation, ETL/data pipeline testing, and source-to-target mapping checks
Test dashboards and reports (Power BI, Tableau, or similar) for accuracy
Identify, log, and track defects, and work with developers to resolve them
Perform regression, integration, and user acceptance testing (UAT) support
Document business requirements, data mappings, and test results
Work with Agile teams and join sprint planning, reviews, and standups
Communicate findings and recommendations clearly to stakeholders

✅ Required Skills & Experience
5 to 7 years of experience as a Data Analyst with hands-on data testing or QA
Strong SQL skills (joins, subqueries, CTEs, aggregations, window functions)
Experience with ETL and data warehouse testing
Experience writing test cases and performing data validation and reconciliation
Experience with BI tools such as Power BI or Tableau
Strong understanding of data quality, data profiling, and data integrity
Experience with defect tracking tools (Jira, Azure DevOps, or similar)
Experience working in Agile teams
Strong analytical, problem-solving, and communication skills
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field 

⭐ Preferred Skills
Python or other scripting for data analysis and test automation
Experience with cloud platforms (Azure, AWS, or GCP) and tools like Snowflake, Databricks, or Azure Data Factory
Experience with automated data testing tools
Exposure to banking, healthcare, insurance, or other regulated industries
Knowledge of data governance and compliance practices🌟 Data Analyst (Data Testing / QA)
📍 Location: Remote (US)
📄 Contract: W2 only (No C2C)
⏳ Duration: Long-term contract
🧑‍💻 Experience: 5 to 7 years

🔑 Job Summary
We are looking for an experienced Data Analyst with strong testing skills to analyze data, validate data quality, and test data pipelines, reports, and dashboards. You will work with business and technical teams to make sure the data is accurate, complete, and reliable for decision-making.

📌 Key Responsibilities
Analyze large datasets to find trends, issues, and insights
Write and run complex SQL queries to validate and reconcile data
Create test plans, test cases, and test scenarios for data and reports
Perform data validation, ETL/data pipeline testing, and source-to-target mapping checks
Test dashboards and reports (Power BI, Tableau, or similar) for accuracy
Identify, log, and track defects, and work with developers to resolve them
Perform regression, integration, and user acceptance testing (UAT) support
Document business requirements, data mappings, and test results
Work with Agile teams and join sprint planning, reviews, and standups
Communicate findings and recommendations clearly to stakeholders

✅ Required Skills & Experience
5 to 7 years of experience as a Data Analyst with hands-on data testing or QA
Strong SQL skills (joins, subqueries, CTEs, aggregations, window functions)
Experience with ETL and data warehouse testing
Experience writing test cases and performing data validation and reconciliation
Experience with BI tools such as Power BI or Tableau
Strong understanding of data quality, data profiling, and data integrity
Experience with defect tracking tools (Jira, Azure DevOps, or similar)
Experience working in Agile teams
Strong analytical, problem-solving, and communication skills
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field 

⭐ Preferred Skills
Python or other scripting for data analysis and test automation
Experience with cloud platforms (Azure, AWS, or GCP) and tools like Snowflake, Databricks, or Azure Data Factory
Experience with automated data testing tools
Exposure to banking, healthcare, insurance, or other regulated industries
Knowledge of data governance and compliance practices