Quality Analyst

Posted 2 Months Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Hybrid
Junior
Information Technology • Database • Consulting
The Role
Analyze healthcare data to identify quality issues; perform database testing and source-to-target validation using SQL; investigate discrepancies, reconcile data, translate business requirements into validation rules, prepare quality reports, and collaborate with analysts, developers, and product owners in an Agile process.
Summary Generated by Built In
  • Analyze healthcare data and identify data quality issues, inconsistencies, and anomalies.
  • Perform database testing and data validation using SQL.
  • Write SQL queries to extract, compare, reconcile, and validate data.
  • Validate data accuracy, completeness, consistency, and integrity.
  • Perform source-to-target data validation and reconciliation.
  • Investigate data discrepancies and identify the root cause of data quality issues.
  • Work with business and technical teams to resolve data-related issues.
  • Review business requirements and translate them into data quality and validation requirements.
  • Prepare data quality reports and communicate findings to stakeholders.
  • Maintain documentation related to data validation, business rules, and quality processes.
  • Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
  • Work closely with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders.
Responsibilities
  • Analyze healthcare data and identify data quality issues, inconsistencies, and anomalies.
  • Perform database testing and data validation using SQL.
  • Write SQL queries to extract, compare, reconcile, and validate data.
  • Validate data accuracy, completeness, consistency, and integrity.
  • Perform source-to-target data validation and reconciliation.
  • Investigate data discrepancies and identify the root cause of data quality issues.
  • Work with business and technical teams to resolve data-related issues.
  • Review business requirements and translate them into data quality and validation requirements.
  • Prepare data quality reports and communicate findings to stakeholders.
  • Maintain documentation related to data validation, business rules, and quality processes.
  • Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
  • Work closely with Business Analysts, Data Analysts, Developers, Product Owners, and other stakeholders.
Qualifications
  • Experience as a Quality Analyst, Data Quality Analyst, or Data Analyst.
  • Strong hands-on knowledge of SQL.
  • Experience with database testing and data validation.
  • Strong understanding of relational databases and data structures.

Skills Required

  • Experience as a Quality Analyst, Data Quality Analyst, or Data Analyst.
  • Strong hands-on knowledge of SQL.
  • Experience with database testing and data validation.
  • Strong understanding of relational databases and data structures.

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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