Data Intelligence Lead - Hartford, CT (Onsite) :: Contract (W2)

Job Title: - Data Intelligence Lead

Location: - Hartford, CT (Onsite)

Duration: - Long Term Contract

Description:

Client is seeking a highly business-oriented Data Intelligence Lead to translate business challenges into practical data and analytics solutions that drive measurable business value. This role serves as the bridge between business stakeholders and the data organization, ensuring that analytics investments result in improved decisions, operational efficiency, revenue growth, cost reduction, and organizational performance. The ideal candidate combines strong analytical and technical capabilities with exceptional business acumen, stakeholder engagement, and change management skills. They are accountable not only for delivering analytics solutions, but also for driving adoption, influencing decisions, and ensuring business value is realized. This is not a traditional reporting, dashboarding, or academic data science role. Success is measured by business outcomes achieved through analytics, not by the number of reports, models, or dashboards delivered.

Qualifications:

• 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

Education Requirements:

• Degree in business Analytics or Data Science preferred

Core Responsibilities:

• Business Problem Translation & Value Creation
• 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