Director of Analytics & Business Intelligence

About the role

Horizon3.ai is in search of a highly motivated and technically skilled Director of Analytics & Business Intelligence to lead a dynamic team of BI analysts and developers. This role requires a strong blend of leadership, strategic thinking, business partnership, and hands-on analytics expertise to enable data-driven decision-making across the organization.

Responsibilities

• Team Leadership & Strategy
  • Lead, mentor, and develop a team of BI analysts, analytics professionals, and BI developers, fostering a culture of high performance, curiosity, accountability, and continuous improvement.
  • Collaborate with senior leadership to define and execute the BI and analytics roadmap aligned with company goals and business priorities.
  • Establish clear priorities, operating rhythms, and intake processes for analytics requests across the organization.
  • Drive standardization, scalability, and automation across dashboards, reporting, metrics definitions, and analytics workflows.
  • Serve as a strategic partner to business leaders by translating business questions into actionable insights, reporting solutions, and measurable outcomes.
• Business Intelligence & Analytics Enablement
  • Deliver actionable insights through dashboards, reports, scorecards, and analytical frameworks using tools such as Looker, Tableau, Power BI, Sigma, or similar platforms.
  • Develop and maintain executive dashboards and business performance reporting that provide clear visibility into company KPIs, trends, risks, and opportunities.
  • Partner with business units, including Product, Sales, Marketing, Finance, Customer Success, and Operations, to understand their analytics needs and translate them into clear reporting and insight requirements.
  • Facilitate self-service analytics by creating intuitive dashboards, trusted datasets, documentation, and enablement resources that empower teams to make data-driven decisions.
  • Define and promote consistent metric definitions, reporting standards, and dashboard best practices across the company.
  • Identify opportunities to improve business performance through data analysis, trend identification, funnel analysis, segmentation, forecasting, and operational reporting.
• AI-Assisted Analytics & Dashboard Innovation
  • Evaluate, implement, and promote AI-assisted analytics tools that improve the speed, quality, and accessibility of insights across the organization.
  • Use AI tools to accelerate dashboard development, automate recurring analysis, identify anomalies, summarize trends, and uncover hidden insights.
  • Partner with stakeholders to explore new ways of using AI to make analytics more intuitive, interactive, and scalable.
  • Develop best practices for responsible use of AI in analytics, including data accuracy, validation, governance, and human review.
  • Stay current on emerging AI capabilities in BI, analytics, data visualization, natural language querying, and automated insight generation.
• Data Quality, Governance & Cross-Functional Partnership
  • Partner with Data Engineering, Product, Engineering, and business teams to ensure reporting datasets are reliable, well-understood, and fit for business use.
  • Help define and maintain business metric definitions, data documentation, reporting standards, and governance practices.
  • Ensure dashboards and analytics outputs are accurate, consistent, secure, and aligned with stakeholder needs.
  • Identify data quality issues, reporting gaps, and process inefficiencies, and partner with the appropriate teams to resolve them.
  • Promote a strong data culture by helping teams understand, trust, and act on data.

Qualifications

• 7+ years of experience in business intelligence, analytics, data analytics, or related roles.
• 3+ years of experience in a leadership, management, or team lead capacity.
• Strong proficiency in SQL and experience with modern BI and analytics platforms such as Looker, Tableau, Power BI, Sigma, Mode, or similar tools.
• Experience building executive dashboards, KPI frameworks, self-service analytics environments, and scalable reporting processes.
• Strong understanding of data modeling concepts, metric definitions, dashboard design, analytics best practices, and data governance principles.
• Experience partnering with data engineering or data platform teams to define analytics requirements, validate datasets, and ensure reporting reliability.
• Familiarity with Git (version control) and CI/CD practices related to analytics workflows, dashboard deployment, data validation, and data pipeline reliability.
• Practical experience using AI-assisted analytics tools, natural language BI capabilities, automated insight generation, or AI tools that accelerate dashboarding and analysis.
• Ability to translate complex business questions into clear analytical approaches, actionable insights, and compelling data stories.
• Strong stakeholder management and executive communication skills, with experience partnering across Product, Engineering, Sales, Marketing, Finance, Customer Success, and Operations.
• Knowledge of machine learning, statistical modeling, forecasting, segmentation, or advanced analytics techniques is a plus.