Director, Business Intelligence & Analytics

Role Overview

• Be a key partner to the executive team on planning, forecasting, and investment tradeoffs — not just reporting on decisions, but helping shape them.
• Own the analytical frameworks that inform how RapidSOS allocates resources, evaluates performance, and identifies growth opportunities.
• Lead white space analysis, upsell opportunity identification, and customer health scoring to drive GTM strategy.
• Influence board and investor narratives by ensuring the data behind our story is airtight, consistent, and compelling.
• Establish and enforce definitions for all key business metrics — ARR, churn, pipeline, product utilization, and customer health — across Finance, Revenue, and Product.
• Serve as the arbiter of truth when metrics conflict across systems or teams.
• Partner with Finance on investor-grade reporting standards and SaaS metric definitions.
• Identify opportunities to use AI to automate recurring reporting, anomaly detection, forecasting, and narrative generation.
• Build workflows that reduce manual analysis and increase the speed from data to decision.
• Partner with Data Engineering and Product to incorporate predictive and AI-generated insights into dashboards and executive reporting.
• Establish best practices for responsible AI use in analytics, including validation, governance, and transparency.
• Build and maintain dashboards and reporting that drive board, investor, and leadership decisions.
• Own the cadence of executive data deliverables including weekly leadership reviews, monthly business reviews, and board packages.
• Translate complex data into clear, decision-ready narratives for senior stakeholders.
• Embed analytics support across RevOps, Product, and Finance — delivering insights at the speed each team operates.
• Partner with Product on utilization metrics, adoption trends, and retention risk signals.
• Enable self-serve analytics capabilities across the organization so teams move fast without breaking things.
• Hire, develop, and grow a high-impact team of analysts and analytics engineers over time.
• Partner closely with the Data Engineering team (Databricks/medallion architecture) to ensure the analytics layer is reliable, scalable, and governed.
• Evaluate and evolve the BI and AI toolstack to match the ambition of the function.

Requirements

• 8+ years in analytics, business intelligence, or data strategy roles, with 3+ years in a leadership capacity.
• Deep experience in a B2B SaaS environment — you understand ARR, net revenue retention, CAC, pipeline coverage, and the metrics that matter to investors and operators.
• Proven ability to be a strategic partner to senior leadership, not just a reporting function — you’ve influenced planning, budgeting, and investment decisions with data.
• Experience using AI tools to accelerate analytics workflows: automated SQL generation, natural language data exploration, AI-assisted modeling, or narrative reporting.
• Track record of reducing manual reporting effort through automation or intelligent tooling.
• Hands-on with modern BI tooling (Tableau, Looker, Power BI, or similar); strong SQL skills required.
• Experience working with cloud data platforms (Databricks, Snowflake, BigQuery, or equivalent).
• Executive presence — you can present to the board with confidence and translate complexity into clear decisions.
• Comfort experimenting with new tools and shaping how AI is used responsibly inside an organization.
• Familiarity with analytics engineering workflows and tools and DataBricks familiarity is a plus.
• Prior experience building or formalizing a BI function from the ground up a plus.

Tech Stack

• BigQuery
• Cloud
• SQL
• Tableau

Benefits

• Competitive salary and benefits and equity participation
• A dynamic, flexible and fun start-up work environment with a highly talented team
• The chance to work with a passionate team on solving one of the largest challenges globally