Data Intelligence Lead

Barnes•,

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. The role involves designing and developing dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support tools, with an emphasis on rapid MVP delivery and iterative improvements. A key aspect is enabling data-driven decision-making by developing actionable insights, identifying trends, and supporting strategic planning and operational optimization. The position also requires driving the adoption of analytics solutions, managing change, and ensuring that analytics become embedded in business processes. Strong communication and data storytelling skills are essential for presenting findings and recommendations to executive stakeholders. The role involves cross-functional leadership, collaborating with business leaders, data architects, engineers, and IT stakeholders, and mentoring team members.

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

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