VP, Analytics

🕒 Junho 2

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Muck Rack

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💰 $180.000.000 Series A em 2022-09

A plataforma de gestão de Relações Públicas (PRM) da Muck Rack permite que milhares de organizações — incluindo Google, Knight Foundation, Pfizer, Golin, Zapier e Duolingo — construam confiança e contem suas histórias por meio de mídia conquistada (earned media). Seu banco de dados de mídia reúne e organiza centenas de milhões de pontos de dados para ajudar equipes de Relações Públicas (RP) a encontrar jornalistas, podcasters e criadores de conteúdo, gerar cobertura, monitorar notícias e comprovar o valor do seu trabalho. Jornalistas usam as ferramentas gratuitas da Muck Rack para apresentar seus portfólios, analisar notícias sobre qualquer tema e mensurar o impacto de suas reportagens.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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