Director, Business Intelligence & Analytics

16 hours, 53 minutes ago
Full-time
Lead
Data Science and Analytics
RapidSOS

RapidSOS

RapidSOS is an advanced emergency technology provider that connects life-saving data from various devices, apps, and sensors to emergency responders, enhancing response times and improving outcomes in critical situations.

Diversified Telecommunication Services
51-250
Founded 2013
$281M raised

Description

  • Partner with the executive team on planning, forecasting, and investment tradeoffs.
  • Own analytical frameworks that guide resource allocation, performance evaluation, and growth opportunity identification.
  • Lead white space analysis, upsell opportunity identification, and customer health scoring to support go-to-market strategy.
  • Establish and enforce standardized definitions for core business metrics across Finance, Revenue, and Product.
  • Serve as the source of truth when metrics conflict across systems or teams.
  • Partner with Finance on investor-grade reporting standards and SaaS metric definitions.
  • Identify and implement AI opportunities for recurring reporting, anomaly detection, forecasting, and narrative generation.
  • Build workflows that reduce manual analysis and speed up decision-making.
  • Develop dashboards and executive reporting for board, investor, and leadership use.
  • Own the cadence of weekly leadership reviews, monthly business reviews, and board packages.
  • Translate complex data into clear narratives for senior stakeholders.
  • Embed analytics support across RevOps, Product, and Finance and enable self-serve analytics across the organization.
  • Hire, develop, and grow a high-impact team of analysts and analytics engineers over time.
  • Partner with Data Engineering to ensure the analytics layer is reliable, scalable, and governed.
  • Evaluate and evolve the BI and AI toolstack to match the needs of the function.

Requirements

  • 8+ years of experience in analytics, business intelligence, or data strategy roles.
  • 3+ years of leadership experience.
  • Deep experience in a B2B SaaS environment.
  • Strong understanding of ARR, net revenue retention, CAC, pipeline coverage, and other investor-relevant SaaS metrics.
  • Proven ability to influence planning, budgeting, and investment decisions with data.
  • Experience using AI tools to accelerate analytics workflows, such as 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 experience with modern BI tools such as Tableau, Looker, Power BI, or similar.
  • Strong SQL skills required.
  • Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or equivalent.
  • Executive presence and the ability to present clearly to the board and senior leadership.
  • Comfort experimenting with new tools and shaping responsible AI use inside an organization.
  • Familiarity with analytics engineering workflows and tools is a plus.
  • Databricks familiarity is a plus.
  • Prior experience building or formalizing a BI function from the ground up is a plus.

Benefits

  • Competitive salary of $190,000-$215,000.
  • Equity options.
  • Competitive benefits and equity participation.
  • Flexible startup work environment.
  • Opportunity to work with a passionate, highly talented team.
  • Opportunity to work on solving one of the largest global challenges.
  • Equal opportunity workplace committed to nondiscrimination.

Interested in this position?

Apply directly on the company website

Apply Now

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