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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Intelligence Lead - **Company:** Barnes Inc. - **Location:** Bristol, CT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Data Presentation, Data Visualization, Data Intelligence, Python (Programming Language), Power BI, Azure Data Lake, Azure Data Factory, Sql Optimization, Pyspark, Data Analytics, Databricks - **Published:** July 3, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87635067/1 ## About the Role * 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 ## Description * 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 Analytics Solution Delivery * 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 Data-Driven Decision Enablement * 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 Adoption, Change Management & Value Realization * 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 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 ## Related Videos - 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