About the role
- Partner with stakeholders across the organization to provide insights that support strategic and operational decision-making.
- Analyze complex datasets to identify trends, risks, opportunities, and key business performance drivers.
- Design, develop, and maintain dashboards, reports, scorecards, and visualizations that enable informed business decisions.
- Support forecasting, planning activities, KPI tracking, executive reporting, and business review processes.
- Collaborate with cross-functional teams to define reporting requirements, business metrics, and performance measurement frameworks.
- Drive reporting standardization and promote self-service analytics capabilities across the organization.
- Ensure data accuracy, consistency, and reliability through effective validation, governance, and quality management practices.
- Leverage automation, advanced analytics, and AI-enabled technologies to improve productivity and accelerate insight generation.
- Present analytical findings and recommendations to technical and non-technical audiences, including senior leaders.
- Lead high-impact analytics initiatives focused on operational excellence, process improvements, and measurable business outcomes.
- Promote best practices in analytics, data visualization, data storytelling, and stakeholder engagement.
- Identify opportunities to strengthen analytical capabilities and foster a data-driven culture throughout the organization.
- Bachelor's degree in Business, Analytics, Engineering, Computer Science, Information Systems, Economics, Mathematics, or a related field.
- Experience in Business Analytics, Business Intelligence, Reporting, Business Operations, Sales Operations, Finance Analytics, or a related analytical discipline.
- Strong analytical, quantitative, and problem-solving skills with the ability to translate complex information into clear business insights.
- Advanced SQL skills and experience working with large and complex datasets from multiple sources.
- Hands-on experience with business intelligence and data visualization platforms such as Power BI, Tableau, or similar tools.
- Experience utilizing automation, analytics, AI-enabled technologies, or process improvement approaches to drive business outcomes.
- Advanced proficiency in Microsoft Excel and PowerPoint.
- Strong communication and presentation skills, with the ability to influence decisions through data-driven recommendations.
- Ability to manage multiple priorities in a dynamic, collaborative environment.
- Experience partnering effectively with diverse stakeholders to achieve business objectives.
- Experience working with cloud-based data platforms such as Snowflake, Azure Data Services, Databricks, or similar technologies.
- Familiarity with data modeling, semantic models, and modern business intelligence practices.
- Experience supporting forecasting, planning, KPI development, performance management, or executive business review processes.
- Exposure to Python, R, or other analytical programming languages.
- Experience implementing automation, AI-assisted analytics, or continuous improvement initiatives.
- Knowledge of data governance, data quality management, and metric standardization practices.
- Experience leading analytical projects, mentoring colleagues, or driving cross-functional initiatives.