Data Intelligence Lead

Responsibilities

• Partner directly with business leaders to understand strategic priorities, operational challenges, and growth opportunities
• Translate ambiguous business problems into practical data and analytics solutions
• Identify and prioritize high-value use cases that drive measurable business outcomes
• Ensure all analytics initiatives are aligned with business objectives and KPIs
• Quantify expected and realized business value from analytics investments
• Serve as a trusted advisor on how data can improve business performance
• Lead the development and delivery of analytics solutions that improve business decision-making
• Design and develop dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support tools
• Rapidly deliver MVP solutions to validate business value
• Iterate solutions based on stakeholder feedback and evolving business needs
• Balance speed, practicality, and business impact over technical perfection
• Enable data-driven decision making
• Develop actionable insights that drive decisions and business outcomes
• Identify trends, risks, opportunities, and performance drivers within enterprise data
• Build analytical solutions that support planning, forecasting, operational optimization, and strategic decision-making
• Ensure analytical outputs are understandable, actionable, and aligned to business objectives
• Drive adoption of analytics solutions across business functions
• Embed analytics within business processes and workflows
• Develop stakeholder engagement, training, and enablement plans
• Monitor utilization, adoption, and business impact of delivered solutions
• Identify and remove barriers preventing business adoption
• Champion a culture of data-driven decision-making
• Data storytelling & executive communication
• Translate analytical findings into compelling business narratives
• Present insights and recommendations to leadership teams and executive stakeholders
• Communicate business impact in language that drives action
• Develop executive-ready dashboards, scorecards, and performance reviews
• Cross-functional leadership
• Collaborate closely with: Business leaders, Data Product Architects, Data Engineers, Analytics teams, IT and enterprise stakeholders
• Align analytics initiatives with business priorities
• Help establish a culture of accountability, speed, pragmatism, and measurable outcomes
• Mentor team members on business-facing analytics and stakeholder engagement

  Requirements

  • 5 - 10+ years of experience in analytics, business intelligence, consulting, analytics engineering, or data-driven business roles
  • Proven experience translating business problems into analytics solutions that delivered measurable value
  • Strong business acumen and ability to connect analytics to operational and financial outcomes
  • Advanced SQL skills
  • Strong Python and/or PySpark experience
  • Experience with Power BI and data visualization
  • Experience working with Azure and Databricks analytics environments
  • Demonstrated experience delivering MVPs and iterative solutions
  • Strong stakeholder management and change management capabilities
  • Exceptional communication, facilitation, and presentation skills
  • Experience in manufacturing, supply chain, ERP, finance, distribution, or operational environments
  • Experience leveraging Azure Data Factory, Databricks, and Azure Data Lake
  • Familiarity with Medallion Architecture (Bronze / Silver / Gold)
  • Experience leading analytics adoption initiatives
  • Experience measuring ROI and business value realization
  • Exposure to forecasting, predictive analytics, optimization, and advanced analytics
  • degree in business Analytics or Data Science preferred