Director of Analytics & Business Intelligence

Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find and fix exploitable attack vectors. They are seeking a Director of Analytics & Business Intelligence to lead a team of BI analysts and developers, focusing on building a scalable analytics function that drives data-driven decision-making across the organization.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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