Jobs via Dice
Overview
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 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. 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. Required Qualifications
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. Preferred Qualifications
Experience with big data platforms such as Hadoop or Spark. Knowledge of data governance and privacy regulations, such as GDPR or CCPA. Experience with HPCC/ECL Pay Transparency
The typical base pay for this role across the U.S. is:
$50.00 - $55.00/hr . Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. Consent to Communication and Use of AI Technology
By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our #AditiConsulting 25-23256
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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 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. 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. Required Qualifications
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. Preferred Qualifications
Experience with big data platforms such as Hadoop or Spark. Knowledge of data governance and privacy regulations, such as GDPR or CCPA. Experience with HPCC/ECL Pay Transparency
The typical base pay for this role across the U.S. is:
$50.00 - $55.00/hr . Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. Consent to Communication and Use of AI Technology
By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our #AditiConsulting 25-23256
#J-18808-Ljbffr