Power BI SME Lead

The Power BI SME Lead is a pivotal role within the team, responsible for guiding and solving intricate business challenges through data, analytics, and insights. With 8-12 years of experience and a strong background in BI engineering, the successful candidate will lead teams and projects while ensuring adherence to quality and timelines. This position is based in Hyderabad or Bengaluru, India, and requires a bachelor's degree in computer science, IT, or a related field.

Key Responsibilities:

• Lead a team of problem solvers to address complex business issues from strategy to execution.
• Utilize feedback and reflection for personal development and growth.
• Engage in opportunities and assignments that require flexibility and adaptability.
• Demonstrate critical thinking to organize and solve unstructured problems.
• Conduct quality reviews of tickets and deliverables and manage status reporting for projects.
• Ensure adherence to SLAs and manage incidents, changes, and problems effectively.
• Review the work of self and others for quality, accuracy, and relevance.
• Choose and explain the appropriate tools for specific situations.
• Identify opportunities for improvements and propose solutions.
• Seek diverse experiences and perspectives to enhance professional growth.
• Communicate straightforwardly and influence others in a structured manner.
• Build quality relationships by reading situations and adapting behavior accordingly.
• Uphold ethical standards and business conduct.
• Demonstrate leadership by directly engaging with clients and leading projects.
• Collaborate within teams, manage workstreams, and engage across teams.
• Contribute to cross competency work and COE activities.
• Manage escalations and risks effectively.

Position Requirements:

Required Skills:

• Primary: Strong expertise in Power BI, Visualization, and Excel.
• Secondary: Proficiency in Power BI, Cognos, Qlik, SQL, Python, Advanced Excel, Excel Macro, and Data Analytics.

BI Engineer Requirements:

• Minimum 5 years of experience in building advanced Data Analytics.
• Experience in delivering managed data and analytics programs.
• Expertise in developing scalable and secure data structures and pipelines.
• Experience with data governance solutions and industry-leading tools.
• Knowledge of data consumption patterns and BI tools like Power BI and Qlik Sense