QA Data Specialist

7 days ago

Melbourne, Victoria, Australia beBeeData Full time $94,999 - $124,999
Quality Assurance Engineer Position

We are seeking an experienced Quality Assurance Engineer to join our team in Australia. This role is critical in ensuring the integrity, accuracy, and performance of our Business Intelligence (BI) solutions.

About the Opportunity

This position offers a unique chance to work with cutting-edge technology and make a real impact on our customers' experiences.

The ideal candidate will have a solid understanding of data testing, SQL, and Agile methodologies. They will be responsible for validating data accuracy, collaborating with cross-functional teams, and mentoring junior QA team members.

Responsibilities
  • Validate data accuracy, completeness, and transformation logic across multiple systems and environments.
  • Collaborate with cross-functional teams including Developers, Product Managers, QAs to ensure test coverage and alignment with business goals.
  • Write and optimize complex SQL queries to perform in-depth data validation and reconciliation.
  • Own the defect lifecycle: log, triage, track, and report issues using Azure/Jira and Confluence.
  • Mentor junior QA team members and provide technical guidance on BI testing best practices.
  • Contribute to the development and refinement of QA frameworks, standards, and automation strategies for data testing.
  • Participate in Agile ceremonies and influence sprint planning, estimation, and retrospectives from a QA perspective.
  • Support SIT and production validation, ensuring data quality in live environments.
  • Recommend improvements to QA processes, tools, and automation strategies for BI testing.
Qualifications

We are looking for curious and empathetic individuals who are motivated by meaningful work. The ideal candidate will bring deep expertise in data testing, a strong command of SQL, and a strategic mindset to drive continuous improvement in QA practices.

Required Skills & Experience
  • Proven intermediate level and higher experience in QA, with some years focused on BI, data warehouse, or analytics testing.
  • Advanced SQL skills and experience validating large, complex datasets.
  • Strong understanding of ETL processes, data modeling, and data governance principles.
  • Hands-on experience with BI tools such as Power BI, Tableau, Looker, or similar.
  • Familiarity with Agile/Scrum methodologies and tools like Azure Dev Ops, JIRA and Confluence.
  • Knowledgeable in API testing (e.g., Postman)
Benefits

Xplor offers a range of benefits, including:

  • 12 weeks paid parental leave for both primary and secondary carers.
  • Unlimited access to LinkedIn Learning, plus regular career and growth conversations with your leader.
  • Ongoing dedication to Diversity & Inclusion initiatives.
  • Flexible working arrangements.

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