Data Intelligence Lead

Barnes•,

10d

About The Position

This role focuses on translating business problems into practical data and analytics solutions, leading the development and delivery of these solutions, enabling data-driven decision-making, driving adoption and value realization, and communicating insights to leadership. The Data Intelligence Lead will partner directly with business leaders to understand strategic priorities and operational challenges, identify high-value use cases, and ensure analytics initiatives align with business objectives and KPIs. The role involves designing and developing dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support tools, with an emphasis on rapidly delivering Minimum Viable Product (MVP) solutions and iterating based on feedback. A key aspect is developing actionable insights, identifying trends, risks, and opportunities within enterprise data, and ensuring analytical outputs are understandable and aligned with business objectives. The position also requires driving the adoption of analytics solutions, embedding them within business processes, and championing a culture of data-driven decision-making. Strong communication and storytelling skills are essential for translating analytical findings into compelling business narratives and presenting recommendations to executive stakeholders. The role involves cross-functional leadership, collaborating with business leaders, data architects, engineers, analytics teams, and IT stakeholders, while mentoring team members on business-facing analytics and stakeholder engagement.

Requirements

5+ 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

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
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
Ensure analytics become embedded 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
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
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