Business Intelligence Manager

As a Senior Data Analytics Manager at Skan, you will be responsible for transforming raw data into actionable intelligence that drives strategic decisions and enhances customer experiences. Your role will involve working at the intersection of cutting-edge analytics, business strategy, and customer success to convert complex datasets into descriptive and prescriptive insights that lead to measurable business outcomes. You will play a crucial role in designing and building advanced analytics frameworks, creating intuitive dashboards, and extracting critical insights that directly impact product evolution, customer success, and business growth. Your responsibilities at Skan will include: - Leading the analytics revolution by designing and implementing descriptive and prescriptive analytics - Architecting and delivering sophisticated customer-facing dashboards that highlight automation opportunities and performance metrics - Pioneering industry-specific analytics frameworks that demonstrate the transformative potential of AI in optimizing business processes - Conducting deep-dive analyses to uncover hidden patterns and trends, enhancing AI models and driving continuous product improvement - Enhancing data visualization to make complex insights immediately accessible and actionable - Partnering with customers to develop analytics solutions that deliver tangible ROI and align with strategic objectives - Collaborating across teams to influence Skan's AI platform roadmap based on real-world analysis and feedback - Championing data governance and establishing best practices for managing AI-generated insights - Driving innovation with data science teams to enhance machine learning models and develop advanced predictive and prescriptive analytics capabilities - Building and inspiring a high-performing analytics team that embodies ownership, intellectual curiosity, and AI-driven problem-solving Requirements: - 10+ years of hands-on leadership in business intelligence, advanced analytics, or data science - Expert-level proficiency in Databricks or Snowflake, Microsoft Power BI, and Tableau - Advanced SQL skills with substantial experience in modern data warehousing architectures - Strong Python capabilities for sophisticated data manipulation and transformation in AI/ML environments - Proven track record of creating intuitive, AI-enhanced dashboards that effectively communicate complex insights - Extensive experience in business process analysis and generating actionable intelligence for automation and optimization - Exceptional autonomy with the ability to drive projects independently while collaborating seamlessly across functions - Strategic analytical mindset focused on converting data into measurable business impact through descriptive and prescriptive approaches - Outstanding communication skills to translate complex AI-powered data narratives into compelling, strategic recommendations - Bonus experience in process mining, AI-driven analytics, value engineering, or automation intelligence If you are enthusiastic about shaping the future of AI-powered analytics, enjoy working hands-on with data, and seek to be part of a company that is redefining process intelligence through AI, this role at Skan is tailored for you.,