Data Quality Analyst (SQL & Python) | WFH

About the Role:

Work Setup

• Work From Home
• Must be willing to report onsite 1–2 times per month as needed

Experience Required

• Minimum 2 years of experience in Data Quality, Data QA, or Data Analysis

Key Responsibilities

• Perform data quality validation to ensure data accuracy, completeness, consistency, and validity.
• Validate datasets using SQL and identify data issues, discrepancies, and anomalies.
• Develop and execute basic Python scripts for data testing and automation.
• Support validation of structured and unstructured datasets.
• Review and validate ETL/ELT data pipelines and data transformations.
• Work closely with cross-functional teams to resolve data quality issues.
• Ensure data integrity across databases and cloud-based platforms.
• Document findings, recommend improvements, and support continuous data quality initiatives.

Qualifications:

Required

• Minimum 2 years of experience in Data Quality, Data QA, or Data Analysis.
• Strong SQL skills for data validation, querying, and analysis.
• Working knowledge of Python for data testing and automation.
• Solid understanding of data quality principles:
• Accuracy
• Completeness
• Consistency
• Validity
• Experience working with ETL/ELT processes.
• Familiarity with structured and unstructured data.
• Knowledge of cloud platforms such as AWS or Azure.
• Experience working with databases such as MongoDB.

Preferred Qualifications

• Experience with data validation frameworks (e.g., Great Expectations, dbt Tests).
• Familiarity with vector databases and RAG pipeline evaluation.
• Exposure to AI/ML or Large Language Model (LLM) systems.
• Experience evaluating AI-generated outputs.
• Background in healthcare or life sciences data.
• Experience working in an Agile environment.