Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
QA
lead QA
datawarehouse
data analytics
snowflake
data pipelines
etl testing
BI testing
Job Details
Position: Quality Assurance (QA) Lead Data & Analytics
Duration: 1+ year contract
Location: ONSITE in San Diego CA (Monday thru Friday)
Duration: 1+ year contract
Location: ONSITE in San Diego CA (Monday thru Friday)
Should be available for the in-person interview in San Diego. Need Local candidates only.
Position Summary
The QA Lead for Data & Analytics will be responsible for establishing and leading the quality assurance strategy across data pipelines, analytics platforms, and reporting systems. This role ensures that data products meet the highest standards of accuracy, reliability, and compliance, supporting enterprise-wide decision-making and operational efficiency. A key focus will be enabling and supporting self-service analytics users across the organization.
Key Responsibilities
Develop and implement QA testing frameworks & policies for data ingestion, transformation, and visualization processes.
Lead test planning, execution, and test automation for ETL pipelines, dashboards (e.g., Power BI), and analytics models.
Collaborate with data engineers, analysts, and product owners to define quality standards and acceptance criteria.
Establish and monitor data quality metrics, dashboards, and root cause analysis workflows.
Mentor and guide junior QA analysts and engineers.
Ensure compliance with internal data governance and external regulatory requirements.
Self-Service Analytics Support
Define and enforce QA standards for self-service analytics tools and workflows.
Partner with business users to validate data sources, metrics, and visualizations used in self-service reports.
Develop reusable test cases and validation templates for common self-service scenarios.
Provide training and documentation to empower users to perform basic QA checks independently.
Monitor and audit self-service usage to identify quality risks and improvement opportunities.
Act as a liaison between centralized data teams and business units to ensure alignment on data definitions and quality expectations.
Required Qualifications
Bachelor s degree in computer science, Information Systems, Data Science, or related field.
5 years of experience in QA roles, with at least 2 years in a lead capacity.
Strong understanding of data warehousing, data lakes, and analytics platforms.
Experience with QA automation tools and scripting (e.g., Python, SQL, Selenium, Informatica DQ).
Familiarity with Agile methodologies and DevOps practices.
Excellent communication and stakeholder management skills.
Preferred Qualifications
Experience supporting self-service BI platforms (Power BI and Tableau).
Knowledge of data governance frameworks and metadata management.
Certifications in QA (e.g., ISTQB), data analytics, or cloud platforms (e.g., AWS, Azure).
Position Summary
The QA Lead for Data & Analytics will be responsible for establishing and leading the quality assurance strategy across data pipelines, analytics platforms, and reporting systems. This role ensures that data products meet the highest standards of accuracy, reliability, and compliance, supporting enterprise-wide decision-making and operational efficiency. A key focus will be enabling and supporting self-service analytics users across the organization.
Key Responsibilities
Develop and implement QA testing frameworks & policies for data ingestion, transformation, and visualization processes.
Lead test planning, execution, and test automation for ETL pipelines, dashboards (e.g., Power BI), and analytics models.
Collaborate with data engineers, analysts, and product owners to define quality standards and acceptance criteria.
Establish and monitor data quality metrics, dashboards, and root cause analysis workflows.
Mentor and guide junior QA analysts and engineers.
Ensure compliance with internal data governance and external regulatory requirements.
Self-Service Analytics Support
Define and enforce QA standards for self-service analytics tools and workflows.
Partner with business users to validate data sources, metrics, and visualizations used in self-service reports.
Develop reusable test cases and validation templates for common self-service scenarios.
Provide training and documentation to empower users to perform basic QA checks independently.
Monitor and audit self-service usage to identify quality risks and improvement opportunities.
Act as a liaison between centralized data teams and business units to ensure alignment on data definitions and quality expectations.
Required Qualifications
Bachelor s degree in computer science, Information Systems, Data Science, or related field.
5 years of experience in QA roles, with at least 2 years in a lead capacity.
Strong understanding of data warehousing, data lakes, and analytics platforms.
Experience with QA automation tools and scripting (e.g., Python, SQL, Selenium, Informatica DQ).
Familiarity with Agile methodologies and DevOps practices.
Excellent communication and stakeholder management skills.
Preferred Qualifications
Experience supporting self-service BI platforms (Power BI and Tableau).
Knowledge of data governance frameworks and metadata management.
Certifications in QA (e.g., ISTQB), data analytics, or cloud platforms (e.g., AWS, Azure).
Thanks,
Nitu
Y&L Consulting, Inc./Sistema Technologies
A YASH Technologies Company
Y&L Consulting, Inc./Sistema Technologies
A YASH Technologies Company
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.