Power Bi Develope

Responsibilities:

• Able to lead testing activities on large enterprise projects or multiple smaller projects concurrently, including delivery of test strategy, test plan, and test status.
• Responsible to communicate and report status and issues to QA Leader as required.
• Assists in conducting interviews, evaluating potential candidates, and onboarding of new resources.
• Has delivery experience leading projects through a standard software testing methodology (test planning, test scope identification, test case development, test execution, and defect management).
• Oversees project to make sure work is scheduled based on priorities, risks, and team strengths and assist with assignment of resources.
• Demonstrate leadership accountability for testing on the projects assigned.
• Exhibit confident, tactful oral communication with peers and IT leaders.
• Develop and deliver formal written communication to IT and Business leaders with support from QA Leader.
• Deliver day-to-day assignments with a high level of quality and attention to detail.
• Independently drive issues to closure, escalating to leadership as needed.
• Assist in identifying process improvement opportunities and implement solutions when appropriate.
• Apply a systematic approach to data gathering and analysis to make key decisions that are supported by facts.
• Successfully multi-tasks across project and non-project assignments, delivering on time with direction on priority from QA Manager.

Qualifications:

• 7-10 years of experience in the testing domain with demonstrated test leadership experience.
• Retail experience preferred.
• Experience leading complex projects with integration for solutions and applications within the Omni Channel space.
• Strong understanding of Software Development Lifecycle methodologies.
• Experience leading projects with multiple teams and integration across multiple applications, including, Point of Sale, Order/Product Hub, Web, Pricing and Promotions, SAP CAR, and Reporting.

Key Skills:

• Proficiency in data science.
• Data analytics and business intelligence.
• Along with these core aspects, the developer should know data integration.
• Data Warehousing, modelling, presentation tactics, and concepts.