Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We collaborate with education organizations to develop strategies and implement solutions that enable the transformative change our clients need to own their future. Together, we empower clients to drive innovation, create sustainable funding streams and deliver better student outcomes.
Today, leaders of higher education institutions and academic medical centers are spending too much time reacting to market forces, rather than focusing on the essential priorities that help students, faculty and staff thrive. The most productive path forward requires an intentional approach and innovative thinking, whereby stakeholders across the entire institution rally around a shared vision and embrace the hard work of effecting change.
You’ll help our clients to achieve organizational effectiveness, improve student outcomes, implement new technologies and align resources and investments to ensure long-term sustainability.
Join our team as the expert you are now and create your future.
You will work closely with the product management and engineering teams in the design, implementation, release, and maintenance of multi-user, dynamic, web-based and analytics applications. Requires a passion for delivering exceptional products, the curiosity and drive to learn client application usage patterns and behaviors, the technical skills to develop reusable and automated tests to ensure high quality user experience and the independence and persistence to own and drive quality through the life cycle of the product. Excellent communication skills, attention to detail, and strong analytical and problem-solving skills are essential aspects of this role.Responsibilities
Deliver all releases on time with high quality and ensure no P1 defects are introduced.
Review requirements, specifications, and design documents to give timely feedback.
Work closely with developers, product managers, and other teams to understand system requirements.
Participate in design reviews and provide recommendations when needed.
Estimate QA effort for user stories and bugs; write and run test plans/test cases.
Create and prepare test data for projects.
Analyze test results and work with developers to resolve issues.
Design, develop, and run automation scripts (Selenium with Java).
Perform deployments to QA and UAT environments independently (CI/CD process).
Identify, document, track, and retest bugs.
Conduct thorough regression testing.
Recommend tools and techniques to improve testing.
Support QA Lead by running bug scrub meetings and highlighting release risks.
Stay updated on new testing tools and methodologies.
Perform Data QA using advanced SQL.
Evaluate large datasets for quality/accuracy and determine business impact.
Work with developers to fix data quality problems.
Write and run test data scripts based on ETL mappings; analyze output.
Use statistical methods/tools (Excel, SAS, SPSS) for data validation.
Analyze data to identify trends and issues using primary/secondary data sources.
Test BI reporting tools and data pipelines (integration/unit testing).
Bachelor’s degree in Computer Science or related field (or equivalent experience).
Strong QA experience in functional, regression, and automation testing.
Hands-on experience with Selenium and Java.
Strong SQL skills (advanced preferred).
Experience with CI/CD tools (Azure DevOps or similar).
Experience with test case management tools (e.g., Microsoft Test Manager).
Experience with API testing (SoapUI, REST, XML).
Experience using defect tracking and change management tools.
Strong analytical, problem-solving, communication, and interpersonal skills.
Experience working in Agile environments.
Ability to adapt quickly to changing technical environments.
Strong background in Data QA.
Ability to read/write complex SQL queries.
Experience working with Big Data technologies and large data sets.
Prior experience creating or maintaining automation frameworks.
Experience with offshore teams.
Experience in healthcare domain.
Knowledge of statistical methods and tools (Excel, SAS, SPSS).
Experience testing BI reporting tools or data pipelines.
