Why You’ll Love This Role

At Cribl, we are evolving our data organization from a centralized service desk into a dynamic, product-led enablement engine. We are seeking an Analytics Lead to act as our internal data consultant and product owner.

Operating dynamically across multiple business units (GTM, People, Finance, etc.), you will take on ambiguous, complex business challenges and design self-serve data solutions that drive action. You combine the strategic rigor of a management consultant with the technical chops of a senior data practitioner. You won’t just take requests; you will own the “Data UX” for our internal stakeholders. You will go deep with two or three named functions rather than spreading thin across all of them.

As An Active Member Of Our Team, You Will…

• Executive Storytelling & Audience Tailoring: Translate complex analyses into clear, compelling narratives, tailoring insights and recommendations to different audiences to drive decisions.
• Product Mindset: Treat analytics as a product. Learn what users need, rank work by impact, maintain a shared plan, and build analyses people can make decisions from quickly
• Problem Framing & Translation: Turn ambiguous questions into defined requirements, and own the analytics end-to-end.
• Cross-Functional Stakeholder Management: Serve as a strategic thought partner to cross-functional stakeholders, aligning analytical priorities, influencing decisions, and driving clarity on complex business challenges.
• AI tooling: Strategically leverage AI tools to enhance analytical capabilities, improve efficiency, and drive innovation.
• Analytics Liaison: Serve as the data team's subject matter expert on marketing data, providing strategic guidance on campaign performance, lead tracking, attribution, and funnel analytics to support marketing decisions.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

If You’ve Got It - We Want It

• 7+ years in analytics, data, or a related role, including direct partnership with senior business leaders.
• Deep knowledge of GTM commercial drivers, with hands-on experience in marketing analytics (e.g., attribution, campaign measurement, funnel analysis), and the ability to learn adjacent functions quickly.
• Proficiency in SQL and familiarity with the modern data stack (Snowflake, dbt) and BI tools with semantic layers (e.g. Omni, Looker, Sigma). Fluency is the bar, not virtuosity: we expect you to use AI-assisted modeling to move faster, and we’d rather have deep business knowledge with competent SQL than the reverse.
• Experience building or directing predictive models (e.g., propensity, churn) and experiments, and judging when their output is good enough to act on.
• A track record of presenting analysis to executives that influenced a decision.
• Strong written communication: you can turn an analysis into a short memo a leader can act on without a meeting.
• Ability to manage competing priorities across stakeholders and decline requests with a clear reason.

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