[Remote] VP, Business Analytics
Auto ImportNote The job is a remote job and is open to candidates in USA. Muck Rack is the leading SaaS platform for public relations and communications professionals. They are seeking a VP of Business Analytics to build and lead the analytics team, ensuring the company operates from a single, trusted set of metrics and supports decision-making across departments with reliable data and insights. Responsibilities 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 Skills 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 Background in or exposure to media, PR, communications, or content-oriented businesses Experience evaluating or leading a BI tool migration (e.g., from Looker to Hex, or from dashboard-heavy to semantic-layer-first architecture) Hands-on experience with dbt Semantic Layer, MetricFlow, or similar metric definition frameworks Experience building AI-powered analytics tools (text-to-SQL agents, automated reporting, anomaly detection) Benefits Fully distributed team with a permanent remote setup Home office stipend, phone and internet reimbursement, coworking membership Virtual and in-person team bonding (lunches, events, competitions) Competitive geo-neutral pay in the U.S. Annual reviews to ensure equity and market alignment Standardized bonus or commission structure 401(k) with employer contributions Equity opportunities 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 Company Overview Muck Rack is a public relations management platform that enables organizations to connect with journalists to generate media coverage. It was founded in 2009, and is headquartered in Miami, Florida, USA, with a workforce of 201-500 employees. Its website is http//muckrack.com.