Highbrow LLC
Job Title: Data QA Analyst
Job ID: 2023-12357
Job Location: Remote (EST or CST)
Job Travel Location(s):
# Positions: 1
Employment Type: W2
Candidate Constraints:
Duration:Long term
# of Layers:0
Work Eligibility:All Work Authorizations are Permitted – No Visa Transfers
Key Technology: ETL, Data Warehouse, SQL, Power BI
Job Responsibilities
- Review and analyze functional and design specifications documents
- Identify test requirements from design document and mapping documents
- Involve in test planning, writing test cases/scripts, creating reusable test data, test case automation, and test execution
- Develop automation test scenarios and enhance automation test platform
- Create and facilitate test plans/reviews with team
- Execute manual and automated test cases
- Manage UAT
- Enhance existing Test scripts, identify end-to-end test scenarios
- Independently create Test Scenarios & Test Cases
- Use gathered data to analyze test results and trends
Skills and Experience Required
- Hands on experience with testing in ETL and Data warehouse.
- Hands on with ETL tools like DBT.
- Strong SQL skills and strong experience in testing SQL reports, paginated reports, etc.,
- Must be able to understand stored procs, PL/SQL (Nice to have coding skills).
- Strong experience in data warehouse concepts and Snowflake or similar databases.
- Good experience in data analysis, data profiling, preparing test data, etc.,
- Prior experience working on migration projects.
- Experience with Power BI and SSRS.
- Experience with Jira, Scrum, and Kanban.
- Experience in automation tools like Validator.
- Experience documenting QA efforts such as acceptance criteria, Source-target mapping, RTM, test plans, test cases, test results, bug reporting, etc.,
- Experiencing working independently as a full QA resource and adaptability to work in multiple teams at the same time.
- Rich experience in functional, integration, end to end, regression, performance, and user acceptance testing.
- Experience in cloud technologies.
- Experience with XML.
- Experience with MS Office.
- Experience in handling health data.