Data Quality Analyst

Data Quality Analyst — Entry to 3 Years

Company: Amoha Recruitment Services LLP

Location: United States (Onsite / Hybrid / Remote — based on client engagement)

Employment Type: Full-Time

Experience: 0–3 Years

Compensation: $70,000–$100,000/year (based on experience, location, and skill set)

About This Opportunity

Amoha Recruitment Services is a US-focused staffing and placement firm actively building a talent pipeline of Data Quality Analysts for upcoming client engagements across technology, finance, healthcare, SaaS, e-commerce, and other industries.

We work with candidates on OPT, STEM-OPT, and H-1B status, as well as US citizens and Green Card holders.

If you're an early-career Data Quality Analyst with a strong foundation in data validation, SQL, data profiling, quality assurance, reporting, and analytical problem-solving, we'd like to add you to our candidate network for current and future client opportunities.

This opportunity is ideal for candidates who are detail-oriented, enjoy working with data, and are interested in ensuring the accuracy, completeness, consistency, and reliability of business-critical information.

What You'll Do

• Validate datasets to ensure accuracy, completeness, consistency, and reliability.
• Perform data quality checks to identify missing values, duplicate records, incorrect formats, and inconsistencies.
• Write and execute SQL queries to validate, reconcile, and analyze data across databases.
• Conduct data profiling to understand data structures, patterns, anomalies, and quality issues.
• Investigate data discrepancies and collaborate with technical and business teams to identify root causes.
• Support data cleansing, standardization, deduplication, and remediation activities.
• Develop and maintain data quality rules, validation procedures, and test cases.
• Compare data across source systems, databases, reports, and data warehouse environments.
• Assist with ETL (Extract, Transform, Load) testing and data pipeline validation.
• Verify data transformations and business logic to ensure accurate downstream reporting.
• Prepare data quality reports, dashboards, and documentation to communicate findings.
• Monitor data quality metrics and identify recurring data issues.
• Collaborate with data engineers, business analysts, QA teams, and data governance teams.
• Support data audits and compliance-related quality checks, where applicable.
• Maintain documentation for data definitions, business rules, validation logic, and issue resolution.
• Recommend process improvements and automation opportunities to improve data quality.
• Assist with regression testing when data pipelines, applications, or database structures change.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Data Science, Statistics, Mathematics, Information Systems, or a closely related field.
• 0–3 years of professional, internship, academic, or hands-on experience in data quality, data analysis, database testing, data validation, or a related area.
• Basic to intermediate SQL skills, including SELECT statements, JOINs, filtering, aggregation, and subqueries.
• Understanding of relational databases, tables, schemas, primary keys, and foreign keys.
• Familiarity with data validation, data profiling, data cleansing, and data reconciliation concepts.
• Understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
• Familiarity with Excel or Google Sheets for data analysis, validation, and reporting.
• Basic understanding of ETL processes, data integration, and data warehouse concepts.
• Ability to identify anomalies, investigate discrepancies, and document findings clearly.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Good written and verbal communication skills.
• Ability to collaborate with technical and non-technical stakeholders.
• Willingness to learn data quality tools, database technologies, and industry best practices.

Skills That Strengthen Your Application

• SQL and relational databases
• Microsoft Excel, PivotTables, lookup functions, and data validation
• Python for data analysis and validation automation
• Data profiling and data cleansing
• Data reconciliation and duplicate detection
• ETL testing and data pipeline validation
• Data warehouse and database fundamentals
• Data quality metrics, rules, and scorecards
• Power BI, Tableau, or other reporting tools
• Informatica Data Quality or Informatica PowerCenter
• Talend Data Quality and data integration tools
• Great Expectations or similar data validation frameworks
• dbt testing and data transformation validation
• Snowflake, Amazon Redshift, or Google BigQuery
• Microsoft SQL Server, PostgreSQL, Oracle, or MySQL
• Cloud data platforms: AWS, Microsoft Azure, or Google Cloud
• Jira, Confluence, and defect-tracking workflows
• Root-cause analysis and issue management
• Data governance, metadata management, and data lineage
• Data integrity and master data management (MDM)
• Data privacy and compliance fundamentals
• Statistical analysis and anomaly detection
• Test case development and regression testing
• Dashboard development and data quality reporting
• Process improvement and quality assurance methodologies

Work Authorization

We welcome candidates who are:

• US Citizens or Green Card holders
• On F-1 OPT or STEM-OPT
• Eligible for or currently holding H-1B status

Work authorization and sponsorship arrangements are subject to the requirements of each client engagement.

Compensation & Benefits

• Market-competitive salary: $70,000–$100,000/year, depending on client, location, experience, and qualifications.
• Health and wellness benefits through placement, where offered by the client or employer.
• Paid Time Off (PTO), where applicable.
• Ongoing learning and professional development support.
• Exposure to real-world data quality, data validation, and analytics projects.
• Opportunities to work with databases, cloud data platforms, and enterprise data systems.
• Experience collaborating with data engineering, business intelligence, QA, and data governance teams.
• Opportunities to develop skills in SQL, data analysis, quality automation, and data management.

How to Apply

Submit your resume through this posting or connect with our recruiting team directly.

Shortlisted candidates may be added to our active talent pipeline and contacted as matching client opportunities become available. Specific roles, compensation, work arrangements, and benefits will depend on the requirements of each client engagement.

Amoha Recruitment Services LLP is an equal opportunity employer/placement partner and welcomes applicants regardless of race, gender, religion, national origin, disability, or veteran status.