As a Data QA Engineer at SHYFT, you are responsible for defining, creating, and executing manual QA test case suites and formulating these suites into an automation framework for regression testing. You have experience with ETL processes, writing effective SQL queries, and stored procedures for all data driven aspects of the SHYFT product line. You possess strong backend testing and data validation skills and are an expert at MS SQL Server databases and T-SQL. 

Key Responsibilities

• Create and execute Test Plans, Test Cases and Automation Test Scripts for the SHYFT product lines (analytics and insights).
• Have an expertise with complex data structures, with the ability to write simple and complex SQL queries and backend data (parallel) validation.
• Create test automation frameworks and implement testing suites from scratch to meet the testing needs of the organization. For example, a working knowledge of Automation concepts and tools (QTP, Selenium, etc.)
• Use defect tracking tools; create a QA project, track results, organize testing metrics and calculations.
• Prioritize and escalate issues in relation to importance for a given project or customer risk assessment.
• Interface credibly with internal and external cross-functional teams in the process of gathering platform design and functionality requirements.
• Have a working knowledge and be an active Agile/Scrum team member.
• Proactively identify bottlenecks in the SDLC process and give recommendations and/or feedback for all known issues.

Position Requirements

• 2-5 years of database testing experience.
• Proven experience in testing databases (MS SQL Server and T-SQL preferred).
• Familiarity with data modeling, Data Management, and Data Quality best practice methodologies.
• Proven experience translating software requirements/stories into accurate and complete test scenarios, including identifying the detailed test data and environment needs.
• Familiarity with creating and executing test plans and test cases for front end and processing testing
• Strong interpersonal communication skills; verbal and written.
• Extensive working experience with SDLC best practices in an Agile environment.

(Desired):




• Knowledge of analytical approaches, statistical techniques and relevant technologies for healthcare industry.
• Possess the ability to mentor and train team members on all aspects of automation methodologies and scripting.

Education and Experience

• B.S. degree with engineering, business or scientific focused curriculum preferred. MBA or masters level degree in business, life science, or healthcare related fields a plus.
• Must have at least of 8+ years QA/Testing experience (prefer at least 3 years of automation experience).

Benefits

• Competitive compensation/Stock Options
• Generous rewards program
• Medical
• Dental
• Paid Vacation/Sick Pay Program
• Holiday pay
• Vision
• 401K
• AD&D and Life Insurance
• Company Outings/Social Events

 Empowering Data, Delivering Results SHYFT Analytics is a full service solution company that delivers next-generation sales insights to the global life sciences industry. Our agile analytic solutions and services are re-defining the way commercial data drives brand performance. We are an innovation and service-driven organization with deep life sciences expertise, and our customers include large pharma, established and emerging biotech, and medical device companies. We are continually growing, and rewarding opportunities exist for exceptional individuals to join our high–quality team of experts.