Data Intelligence Lead
Barnes Inc.
Bristol, CT, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+2 more
Data Analytics
Databricks
Job 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
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
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