The Senior Commercial Analyst serves as the technical leader for Power BI, data architecture, and commercial analytics. This role is responsible for building scalable, enterprise-grade analytics solutions that transform complex data into actionable insights that drive revenue growth, forecast accuracy, and commercial execution.

This individual will partner closely with Commercial Operations, Sales, Finance, IT, and Data Engineering teams to ensure data is structured, modeled, and delivered to maximize business value, self-service analytics, and AI-driven capabilities. The ideal candidate combines deep technical expertise with strong commercial acumen and a passion for building analytics solutions that enable better decisions and measurable business impact.

Your Job   

• Own the Power BI architecture, standards, governance, and roadmap for the Commercial organization.
• Design and deliver scalable analytics solutions, dashboards, and data products that enable data-driven decision making.
• Act as a force multiplier for the Commercial Planning & Performance team by developing scalable capabilities, elevating analytical maturity, and accelerating the impact of analytics across the business
• Build reusable semantic models and reporting frameworks that support self-service analytics across global teams.
• Partner with IT and Data Engineering to influence data architecture and ensure data is optimized for analytics, reporting, and AI readiness.
• Translate commercial objectives into actionable KPIs, metrics, dashboards, and decision-support tools.
• Establish best practices for data modeling, performance optimization, security, quality, and report development.
• Lead innovation in AI-enabled analytics, automation, and insight generation to accelerate business outcomes.
• Mentor analysts and promote analytical excellence, collaboration, and continuous improvement across the organization.

Required Qualifications:

• Expert-level Power BI experience including data modeling, DAX, Power Query, semantic models, governance, and performance optimization.
• Deep knowledge of data warehousing, dimensional modeling, enterprise data architecture, and modern BI platforms.
• Strong ability to bridge business and technical teams, translating requirements into scalable analytics solutions.
• Experience building enterprise analytics ecosystems that support governance, self-service reporting, and AI-enabled insights.
• Strong understanding of commercial and sales performance metrics, forecasting, pipeline management, revenue analytics, and executive reporting.
• Proven track record of converting complex data into actionable business insights that drive measurable results.
• Excellent communication, collaboration, and stakeholder management skills, with the ability to influence at all levels of the organization.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business, or a related field.
• 7+ years of experience in Business Intelligence, Analytics, Data Architecture, or related disciplines.
• 5+ years of advanced Power BI development experience within enterprise environments.