VP, Business Analytics

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently. Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.  We’re looking for a VP of Business Analytics to build and lead the team that powers how Muck Rack understands its business. This is our first dedicated analytics leadership hire at this level, and it represents an opportunity to shape the function from the ground up, owning the data platform, the metric definitions, and the analytical infrastructure that drives decision-making across every department. You’ll lead a team of analytics engineers and business analysts, with the analysts embedded directly in departments. Your job is to make sure the entire company is working from the same numbers, that our operating cadences are powered by trustworthy and automated data, and that we are building toward an AI-native analytics experience where stakeholders can access insights on demand. What makes this role distinctive is that it’s not just about building dashboards and answering data questions. You’ll act as a product manager for the analytics function, deeply understanding the workflows, decisions, and pain points of each business team your analysts serve, and proactively building the data products and tooling that help those teams perform at a higher level. You’ll balance the long tail of ad hoc requests against building the next layer of infrastructure, and you’ll own the prioritization framework that keeps the team focused on the highest-leverage work. This role reports directly to the COO/CFO. What you’ll do: Own the data and metric definitions 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 Lead embedded business analysts as their “product manager” 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 Manage the intake and prioritization of analytical work 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 Drive the BI and AI analytics strategy 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 How success will be measured in this role: Every department leader says they have better, more reliable data support than they did 6 months ago The company operates from a single, trusted set of metric definitions — no more “my number says X but your number says Y” Key company input metric readings are automated and delivered on time every week, with minimal manual effort The semantic layer covers the top 30+ business metrics and is actively used by analysts and (over time) AI agents Ad hoc request turnaround time decreases as self-serve capabilities and proactive analytics increase The embedded BA model produces measurable improvements in the functions they serve — better pipeline forecasting, earlier churn identification, more efficient marketing spend The team ships AI analytics capabilities (natural language querying, automated variance commentary) that reduce manual reporting burden