Senior Business Analyst

Key Responsibilities:

• Stakeholder Management:
• Collaborate with cross-functional teams, including business leaders, IT, and external partners, to understand and address their data needs.
• Facilitate effective communication and manage expectations with stakeholders at all levels.
• Provide training and support to stakeholders on BI tools and data interpretation.
• Power BI Dashboard Development:
• Design, develop, and maintain advanced Power BI dashboards and reports that provide actionable insights.
• Ensure data accuracy and integrity by implementing robust data validation and quality checks.
• Optimize dashboard performance and user experience through best practices in data visualization and user interface design.
• Data Analysis and Reporting:
• Conduct in-depth data analysis to identify trends, patterns, and opportunities for improvement.
• Develop and maintain comprehensive documentation of data sources, methodologies, and processes.
• Present findings and recommendations to senior management and other stakeholders in a clear and concise manner.
• Complex Data Landscape Management:
• Work with large and diverse datasets from multiple sources, ensuring seamless data integration and consistency.
• Implement and manage data governance policies and procedures to maintain data security and compliance.
• Utilize advanced analytics techniques and tools to derive meaningful insights from complex data sets.

Must have Skills:

• Proficient in coding and creating compelling presentations for the senior stakeholders
• Easily analyzes, draws, and synthesizes important insights from complex data.
• Extremely curious and self-driven to understand business performance through data.
• Ability to translate a business or marketing question into a well-defined analytical plan that includes data requirements for technical resources to extract the necessary data.
• Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
• Communicating technical jargon in plain English to colleagues within Data Science team and outside
• Virtual working with network of colleagues located throughout the globe
• 5+ years of relevant experience