Quality Assurance Test Analyst III

Quality Assurance Test Analyst III

Posted 1 day ago by 1761227003

Negotiable
Outside
Remote
USA

Summary: We are seeking a skilled and detail-oriented Data Quality Assurance Analyst to join our team in a mid-level role focused on ensuring the accuracy, integrity, and reliability of data sets. The position involves collaboration with various teams to identify data quality issues, design testing strategies, and implement processes to maintain high standards of data quality. The role is based in New York, NY, but also offers remote working options.

Key Responsibilities:

  • Perform data validation and quality checks to ensure the accuracy, consistency, and completeness of data sets used in reporting, analytics, and operations
  • Develop and execute automated and manual data testing processes to identify data inaccuracies and system defects
  • Collaborate with data engineering teams to design and implement data quality frameworks, including data profiling, cleansing, and monitoring
  • Work with cross-functional teams to understand business requirements and proactively address potential data-related challenges
  • Create and maintain documentation related to data testing plans, anomalies, and resolutions
  • Monitor and report on data quality issues and trends using tools and dashboards for visualization
  • Investigate data integrity issues and assist in identifying root causes
  • Provide recommendations for process improvements and best practices to enhance data quality across the organization
  • Ensure compliance with data governance policies and standards

Key Skills:

  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field
  • 3-5 years of experience in data quality assurance, data analysis, or a related field
  • Proficiency in SQL and experience with querying relational databases
  • Hands-on experience with data testing tools (e.g., Talend Data Quality, Informatica Data Quality, or other similar tools)
  • Familiarity with automated testing frameworks and scripting languages such as Python
  • Strong analytical skills and attention to detail, with the ability to identify and resolve data issues effectively
  • Excellent communication skills and the ability to collaborate across technical and non-technical teams

Salary (Rate): undetermined

City: New York

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

RESPONSIBILITIES:
Kforce has a client that is seeking a Quality Assurance Test Analyst III to join their team in New York, NY.

Summary:
We are seeking a skilled and detail-oriented Data Quality Assurance Analyst to join our team. In this mid-level role, you will be responsible for ensuring the accuracy, integrity, and reliability of data sets used across our organization. You will collaborate with various teams, including data engineers, the Operations team, and product managers to identify data quality issues, design testing strategies, and implement processes to maintain high standards of data quality.

Key Responsibilities:
* Perform data validation and quality checks to ensure the accuracy, consistency, and completeness of data sets used in reporting, analytics, and operations
* Develop and execute automated and manual data testing processes to identify data inaccuracies and system defects
* Collaborate with data engineering teams to design and implement data quality frameworks, including data profiling, cleansing, and monitoring
* Work with cross-functional teams to understand business requirements and proactively address potential data-related challenges
* Create and maintain documentation related to data testing plans, anomalies, and resolutions
* Monitor and report on data quality issues and trends using tools and dashboards for visualization
* Investigate data integrity issues and assist in identifying root causes
* Provide recommendations for process improvements and best practices to enhance data quality across the organization
* Ensure compliance with data governance policies and standards

REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field
* 3-5 years of experience in data quality assurance, data analysis, or a related field
* Proficiency in SQL and experience with querying relational databases
* Hands-on experience with data testing tools (e.g., Talend Data Quality, Informatica Data Quality, or other similar tools)
* Familiarity with automated testing frameworks and scripting languages such as Python
* Strong analytical skills and attention to detail, with the ability to identify and resolve data issues effectively
* Excellent communication skills and the ability to collaborate across technical and non-technical teams

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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