VP, Analytics

🕒 2 days ago

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Muck Rack

WebsiteLinkedInAll Job Openings

201 - 500 employees

💰 $180M Series A on 2022-09

Muck Rack’s Public Relations Management (PRM) platform enables thousands of organizations including Google, Knight Foundation, Pfizer, Golin, Zapier and Duolingo to build trust and tell their stories through earned media. Its media database curates hundreds of millions of data points to help PR teams find journalists, podcasters and content creators, generate coverage, monitor news and prove the value of their work. Journalists use Muck Rack’s free tools to showcase their portfolios, analyze news about any topic and measure the impact of their stories.

📋 Description

• Define and maintain the single source of truth for every business metric at Muck Rack: from ARR and net retention to pipeline conversion and feature adoption • Own the analytics engineering function: a small, high-leverage team that maintains our dbt project and builds the semantic layer that powers both human and AI-driven analytics and decides how data is modeled, curated and exposed • Set the AI analytics roadmap: architect the path from today’s dashboard-driven reporting toward a natural language, self-service model where stakeholders can query metrics directly • Manage and build a team of embedded business analysts each reporting to you while sitting functionally within their business team • Deeply understand the workflows of each function your team serves. Map out what a CSM does in a given day, week, and quarter. Understand what the best-performing reps do differently. Identify where data and tooling can systematize what great looks like and build it • Treat each department as a “customer” of the analytics team: understand their use cases, anticipate their needs, and proactively build the data products and dashboards that help them perform, rather than waiting for requests • Set quality standards and methodology across all analysts to ensure consistency in metric definitions, analytical rigor, and output quality — regardless of which function they’re embedded in • Build and run the BA community of practice: weekly syncs, peer review, shared learnings, and professional development • Build and operate the prioritization framework that balances the long tail of ad hoc requests against investment in infrastructure, automation, and proactive insight-building • Be the gatekeeper: protect the team’s capacity for high-leverage work (semantic layer, AI tooling, automated reporting) while ensuring urgent business questions still get fast answers • Make the trade-offs visible stakeholders should understand what the team is working on, why, and what’s in the queue • Evaluate and evolve our BI tooling strategy, with a focus on enabling faster, more flexible report creation without tools and dashboards proliferating unchecked • Build the semantic layer as the foundation for consistent metric definitions across every consumption layer including dashboards, ad hoc analysis, and AI agents • Deliver a natural language querying capability that lets executives and operators get quick answers to metric questions without submitting a request.

🎯 Requirements

• 8+ years of progressive analytics leadership experience, including managing both analytics engineers and business analysts at a B2B SaaS company • Track record of building and scaling embedded or hub-and-spoke analytics models where analysts sit within business functions but report centrally • Deep understanding of the modern data stack. You’ve worked with dbt, Snowflake (or equivalent), and at least one major BI tool. You have a point of view on semantic layers and how they change the analytics operating model • Experience acting as a “product manager” for an analytics function, including mapping stakeholder workflows, proactively building data products, and making deliberate prioritization decisions about where the team spends its time • You’ve managed the tension between ad hoc requests and long-term infrastructure investment, and you have a framework for how to balance them • Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and Customer Success, with strong executive presence and business acumen • Comfort with AI/LLM-enabled analytics. You don’t need to be an ML engineer, but you should have a clear and informed point of view on how AI changes the analytics function and the ambition to build toward it • Strong opinions about BI tooling, data quality, and what “self-serve analytics” actually looks like in practice (not just a buzzword) • You can translate a business question into a data model, and a data model into a business narrative. You’re as comfortable in a board meeting as you are reviewing a dbt pull request • Alignment with Muck Rack’s core values: Customer Devotion, Resilience, Transparency, Ownership • Proactively incorporate AI tools into day to day work to improve productively and accelerate delivery.

🏖️ Benefits

• Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents • 100% premium coverage for individuals on high-deductible plans • 24/7 Virtual Care and Employee Assistance Program • Employer-funded HSA contributions and other pre-tax benefits • Quarterly wellness stipend and free Headspace subscription • 4+ weeks of PTO, plus paid sick and mental health days • 13 paid holidays with the option to swap for personal days • Up to 16 weeks of fully paid parental leave • Transparent pathways for internal mobility and promotion • Bi-annual performance reviews, team workshops, and leadership training • Unlimited access to Coursera and O’Reilly • 2 additional PTO days annually for learning and development • Commitment to equity and valuing diverse perspectives • Agile, founder-led company focused on collaboration and innovation • Fully distributed team with a permanent remote setup