Senior Quality Assurance (QA) Data Analyst

The job overview for the Senior Quality Assurance (QA) Data Analyst position is to drive the strategy for the next generation of investment data analytics tools and machine learning workflows on the Techstars enterprise data platform. The role involves defining the QA strategy, developing quality assurance standards and measures, and applying end-to-end testing practices to ensure the delivery of consistent and accurate data to Techstars software products. The Senior QA Data Analyst will work closely with data engineers, product managers, and platform analysts in an agile framework to deliver value through multiple levels of decision making and implementation.

• Define and document QA standards and measures
• Ensure the quality of all data products meets the expected standard of excellence
• Create quality assurance measures and testing standards for new applications, products, and enhancements
• Analyze test results to discover and resolve defects, bugs, errors, and deployment/configuration issues
• Work with data engineers to ensure adherence to QA standards, including unit testing
• Assist in the development of change control processes and guidelines for new and existing technologies
• Provide ongoing continuous improvement for existing data quality processes
• Successfully define, build, and launch an enterprise data quality assurance function
• Use website scraping, AI, ChatGPT, and other data enrichment tools and processes to improve data quality
• Utilize data quality monitoring tools to continuously assess enterprise data quality
• Possess exceptional written and verbal communication skills
• Interact with individuals across various disciplines and levels of leadership
• Demonstrate empathy and understanding in interactions.

• Define, document, and align organization to QA standards and measures
• Ensure that the quality of all data products meets the expected standard of excellence
• Create quality assurance measures and testing standards for new applications, products, and/or enhancements to existing applications throughout their development/product life cycles
• Ensure testing activities allow applications to meet business requirements and systems goals, fulfill end-user requirements, and identify existing or potential issues
• Analyze formal test results to discover and resolve defects, bugs, errors, and deployment/configuration issues
• Works with data engineers to ensure QA standards are adhered to, including unit testing that promotes quality coding standards
• Assist in the development of change control processes, practices, and guidelines for new and existing technologies
• Provide ongoing continuous improvement ideology with the team on existing data quality processes
• Experience successfully defining, building, and launching an enterprise data quality assurance function
• Experience using website scraping, AI, ChatGPT, and other data enrichment tools and processes to improve enterprise data quality
• Experience with Great Expectations, Datafold, dbt, Evidently or other data quality monitoring tools to continuously assess enterprise data quality
• Exceptional written and verbal communication skills with the ability to learn and use the terminology understood by diverse audiences
• Ability to interact with individuals across a wide variety of operational, functional, and technical disciplines and work well with all levels of leadership
• Possess empathy.

• Compensation: $135,000 - $165,000 with 10% bonus
• Opportunity to work with a worldwide network that helps entrepreneurs succeed
• Collaboration-driven environment that promotes innovation
• Connection to startups, investors, corporations, and cities to build thriving startup communities
• Equal opportunity employer that values diversity and inclusion
• Use of data quality monitoring tools to continuously assess enterprise data quality
• Opportunity to work with website scraping, AI, ChatGPT, and other data enrichment tools and processes
• Continuous improvement ideology with the team on existing data quality processes
• Exceptional written and verbal communication skills development
• Interaction with individuals across a wide variety of disciplines and levels of leadership
• Opportunity to work with financial or investment data (preferred)
• Curiosity and desire to learn and find solutions
• Strong presence amongst team members and stakeholders to drive initiatives forward
• Humility and ability to self-reflect and learn from experiences