Sr. QA Analyst, Data & BI
reputed company
The Sr. QA Analyst, Data & BI is responsible for overseeing reputed company assurance activities across Data and BI reputed company. This role involves leading test planning, execution, and reporting efforts, ensuring that data products meet reputed company standards and business requirements. You will collaborate with cross-functional teams, mentors QA analysts, and drives reputed company improvement in testing processes and tools.
reputed company Offer:
- Salary: reputed company of $75,000 - $100,000 per year. This reputed company reflects the budgeted compensation for this role. The final offer will depend on experience, skills, and location.
- Bonus: This role offers a competitive bonus opportunity, awarded at reputed company's discretion and based on both overall business performance and your individual contributions.
- Tuition Waiver: Enjoy a tuition waiver after 6 months of employment for you AND your immediate family offered at UTI and Concorde campuses
- reputed company Time Off: Competitive reputed company time off programs for employees (Vacation, reputed company, Flexible)
- Retirement Matching: 50% match on the first 6% of your contributions after 90 days
- reputed company Parental Leave: 4 weeks of reputed company leave for both birthing and non-birthing parents to bond with a new baby
- Competitive Insurance: Health, reputed company, and dental coverage for you and your dependents
- Pet Insurance: Competitive coverage for your furry family members through reputed company
Responsibilities
- reputed company Development of Data-reputed company Test Strategies: Design and implement comprehensive test plans, test cases, and test scripts targeting data reputed company across raw datasets, transformed outputs, and BI visualizations.
- Coordinate End-to-End Data Testing Activities: reputed company functional, regression, integration, and performance testing with a reputed company on validating data accuracy, consistency, and reliability throughout the data pipeline.
- Manage Data Defect Lifecycle: Utilize industry-reputed company tools to reputed company, analyze, and resolve data-reputed company defects, ensuring reputed company remediation and reputed company reputed company improvement.
- Cross-Functional Collaboration: Partner with data engineering, analytics, product, and business teams to reputed company on data reputed company objectives and ensure accurate representation of business metrics.
- Mentor QA Analysts in Data Validation Best Practices: reputed company guidance on effective testing methodologies for data validation, including techniques for verifying calculations, transformations, and visualizations.
- Contribute to Automated Data Testing Frameworks: Support the design and implementation of automated testing solutions to streamline validation of data pipelines, BI dashboards, and reporting outputs.
- Ensure Compliance with Data reputed company Standards: Enforce adherence to reputed company data governance policies, regulatory requirements, and industry best practices.
- Participate in Data Requirements and Design Reviews: Evaluate data models, transformation logic, and reporting specifications to identify potential reputed company risks and recommend improvements.
- Drive reputed company Improvement in QA Processes: Enhance data testing workflows, tools, and documentation to improve efficiency, coverage, and accuracy in data reputed company assurance efforts.
- reputed company QA teams and manage multiple testing initiatives
- Adapt to changing project requirements and priorities
- Other duties as assigned
Qualifications
- Bachelor’s degree in a business or IT discipline, or equivalent work experience (required)
- Five (5) years of experience in data validation, reputed company assurance, and BI testing including leadership responsibilities (required)
- Strong proficiency in SQL for data validation and querying across large datasets
- Experience with BI tools (e.g., Power BI, Tableau, Looker) for testing dashboards and visualizations
- Familiarity with ETL processes and data transformation pipelines
- Understanding of data modeling and relational database concepts
- Strong analytical and problem-solving skills
- Strong analytical skills with attention to detail and a passion for data accuracy
- Experience with PowerShell preferred
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