Sr. Director, Analytics & Reporting

• Develop and execute the enterprise analytics and BI strategy to ensure that data is leveraged across the organization to drive business decisions, optimize operations, and support digital transformation.  

• Define and implement a long-term vision for self-service analytics that enables business users across all functions to access and analyze data independently.  

• Collaborate with business leaders to identify key business questions and opportunities that can be addressed through analytics, ensuring that analytics efforts are aligned with business priorities.  

• Establish key metrics and KPIs that track the success and effectiveness of analytics and BI initiatives, ensuring measurable business outcomes.  

• Oversee the design and rollout of new analytics and reporting capabilities to continuously evolve the company’s data capabilities.  

Self-Service Analytics Strategy: 

• Lead the development and execution of a self-service analytics strategy, ensuring that business teams have the tools, training, and support they need to analyze data and generate insights on their own.  

• Select, implement, and manage analytics platforms that empower business users to create their own dashboards, reports, and analysis with minimal IT support.  

• Establish best practices for self-service analytics adoption, ensuring data governance, security, and quality standards are maintained while enabling user autonomy.  

• Work with business leaders to create a culture of data-driven decision-making across the organization, ensuring that data analytics becomes integral to business operations.  

Business and Data Analysis Services: 

• Provide business analysis services to support business units in understanding and interpreting data, identifying trends, and making data-driven recommendations.  

• Lead a team of analysts to deliver insightful reports and dashboards that highlight key business performance metrics and trends.  

• Work with stakeholders to define reporting and analytics requirements, ensuring that outputs are aligned with business goals.  

• Oversee the delivery of high-quality, actionable insights from data analysis that support the company’s business strategy and decision-making processes.  

Reporting and BI Development: 

• Oversee the creation, development, and maintenance of BI dashboards, reports, and ad hoc analyses that provide critical insights to stakeholders at all levels.  

• Manage the design, implementation, and optimization of data visualizations, ensuring clarity, accessibility, and usability for business users.  

• Ensure consistency, accuracy, and reliability of reporting and BI deliverables, while continuously enhancing reporting processes to meet evolving business needs.  

• Stay up to date with industry best practices in analytics, BI tools, and data visualization, recommending new tools or techniques to improve capabilities.  

Semantic Modeling: 

• Lead the development of semantic data models to bridge the gap between business users and technical teams, ensuring that data is organized and structured in a way that supports business analysis and decision-making.  

• Work with data architects and engineers to ensure that data models are consistent, reusable, and aligned with the company’s overall data architecture and governance standards.  

• Define and manage the business glossary and ensure that business terms are clearly understood and consistently used across the organization.  

Collaboration and Stakeholder Management: 

• Partner with business leaders, data scientists, data engineers, and IT teams to ensure alignment of analytics efforts with business needs and technological capabilities.  

• Foster a collaborative environment between business, technical, and data teams, ensuring strong communication and shared goals.  

• Act as a trusted advisor to business leaders, providing strategic guidance on analytics and reporting to drive business performance.  

• Manage key relationships with external analytics vendors and service providers to support analytics needs.  

Team Leadership and Development: 

• Lead, mentor, and develop a high-performing team of analysts, data scientists, and BI specialists, fostering a culture of continuous learning and growth.  

• Build and maintain a high-quality team that provides consistent business analysis, data analysis, reporting, and BI solutions that drive the organization’s goals.  

• Ensure the professional development of the team through training, skill-building, and exposure to new technologies and methodologies.