Collaboration and Value Engineering

• Cross-Functional Partnership : Work closely with Customer Success, Implementation, and Data Science teams to identify data-driven process improvements and innovate new value drivers from Skan.ai’s platform.
• Customer Value Engagement: Participate in customer value engineering meetings to gain firsthand insights into business value requirements, ensuring analytics solutions align with customer goals.
• Standardized Frameworks: Contribute to the development and standardization of Skan.ai’s value engineering framework, creating industry-specific templates and report structures to streamline value delivery across projects.

Data-Driven Decision Support

• Actionable Insights: Translate complex data into compelling, data-driven stories that support strategic business decisions and enhance customer outcomes.
• Continuous Innovation : Collaborate with the Data Science team to explore new analytical approaches, leveraging emerging tools and techniques to unlock additional value from data.

Qualifications and Skills

• Experience : 6+ years of experience in business intelligence, data analysis, or a related field, with hands-on expertise in Databricks/Snowflake and Microsoft Power BI.
• Technical Proficiency : Strong proficiency in SQL, data warehousing, and online analytical processing (OLAP), with expert knowledge of the Microsoft BI stack (Power Pivot, SSIS, SSRS, SSAS). • Programming Skills: Proficiency in Python for data parsing, structuring, and transformation to support advanced analytics workflows.
• Dashboard Expertise: Demonstrated ability to create intuitive, user-friendly dashboards that effectively communicate process insights to diverse audiences.
• Business Process Analysis: Proven track record of conducting business process analysis and research across various industries, with experience in process mining or process analytics.
• Value Engineering : Experience in value engineering or business value analysis, with the ability to analyze economic and corporate trends to support value-based discussions.
• Communication Excellence: Exceptional communication skills, with the ability to distill complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
• Analytical Mindset: Strong analytical thinking with a focus on translating data into actionable business recommendations that drive measurable outcomes.
• Collaboration and Independence : Ability to work independently while effectively coordinating across organizational boundaries in a fast-paced, dynamic environment.

Important: Please note that visa sponsorship is not available for this position.