Data Warehouse Quality Assurance Analyst

The QA Analyst is responsible for performing quality assurance duties throughout the data warehouse development life cycle. This position will work closely with our project team: business analysts, subject matter experts, store/manufacturing field leaders, managers, and developers to assist in analysis of data integration and data transformation as well as defined and ad-hoc company reports. They will be a champion of our data and reports, helping to identify and resolve any data discrepancies within the data warehouse or reporting for the company. This position demonstrates and promotes innovation, and proactively seeks out automated solutions to business problems. They should create and built upon reusable test collateral on the knowledge foundation of the reporting solution. They should consult with data/business owners and teammates to identify all facets of an issue to help generate a solution as well as understand the potential impacts to processes and systems across the organization to create test scenarios.
Required Skills
Required Experience
Competencies? ?
  • Knowledge of data warehouse, business analysis tools and techniques. ?
  • Knowledge of relational databases with the ability to extract data as necessary. ?
  • Strong experience in writing advanced SQL statements in order to test data loads and reporting. ?
  • Knowledge of Software testing processes and automated tools, with an ability to apply software testing methods and techniques in a business intelligence environment.? ?
  • Past ownership in the development of testing for highly complex projects.? ?
  • Ability to analyze the root cause of a problem and demonstrate good sense when determining impact. ?
  • Track record of consistently driving projects to completion and taking accountability for work and results, as well as confronting tough issues and situations.? ?
  • Experience working with development teams from the initial development of business requirements, through the development / testing as well as providing on-going maintenance and support.? ?
  • Ability to communicate with data warehouse team regarding status, issues and risks on a timely basis. Identify, mitigate and drive project issues and risks to resolution. ?
  • Ability to effectively and professionally communicate, both oral and in written, while also articulating and translating technical language to non-technical customers.? ?
  • Assimilates information quickly, communicate complex requirements and issues clearly and concisely.? ?
  • Effectively work in a collaborative environment across functional teams.?

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