[Remote] VP, Business Analytics

Note: 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