Sr. Manager, GTM Analytics

PitchBook Data•Seattle, WA

3d•Onsite

About The Position

The GTM Analytics team sits within Revenue Operations and serves as the intelligence layer of PitchBook’s commercial engine. We partner directly with Sales, Marketing, Customer Success, Finance and Enterprise Data to ensure that every major business decision is grounded in rigorous, trustworthy data. We are a growing team, this role will be foundational in shaping our hiring trajectory, team structure, and standards of excellence. If you believe that the best insight is the one that informs and shapes decisions, you’ll fit right in. The Senior Manager, GTM Analytics leads a high-performing team of analysts and insight professionals responsible for turning PitchBook’s go-to-market data into a strategic asset. This leader owns the full analytics lifecycle, from partnering with Systems and Data Engineering teams to understand how data is structured and sourced, to delivering polished executive-ready insights through Tableau, Salesforce, AI-assisted tools, and custom visualizations. The role requires deep fluency in GTM process and operations, an ability to grow and develop talent, and a bias for proactive insight generation over reactive reporting. The ideal candidate is a builder who thinks in narratives, moves fast with data, and knows how to make complex GTM dynamics legible to any audience.

Requirements

Bachelor's degree in Business, Analytics, Statistics, Economics, or Finance
8+ years of experience in Revenue Operations; Sales Analytics, Marketing Analytics, or Finance Analytics
4+ years of people management and leadership experience
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice To Haves

Master's degree or other advanced degree in a related field
Deep understanding of B2B go-to-market operations, with the ability to explain the end-to-end lead-to-renewal funnel and identify common data quality and process gaps throughout the customer lifecycle
Strong SQL skills and hands-on experience querying large datasets in modern cloud data platforms (e.g., Snowflake, BigQuery, or equivalent)
Hands-on experience using AI-assisted analytics tools, including generative AI, natural language query tools, or similar technologies to improve analytical workflows
Strong data storytelling and visualization skills with a demonstrated ability to influence senior leadership through compelling narratives
Expert-level experience building and maintaining Tableau dashboards and Salesforce reports or other modern BI platforms
Proven ability to partner effectively with Systems and Data Engineering teams, including understanding data models, schema design, and technical data architecture
Excellent communication, with the ability to translate complex analyses into clear, actionable insights for executive stakeholders
Experience hiring, coaching, and developing analytics talent, including building or scaling an analytics team
Experience creating and presenting executive or board-level reports and presentations

Responsibilities

Recruit, develop, and retain a team of GTM analytics and insight professionals; build the hiring roadmap and org structure to scale the team
Set clear expectations, coach direct reports on both analytical craft and stakeholder communication, and create structured growth paths for ICs
Establish team operating rhythms, prioritization frameworks, and delivery standards that balance rigor with speed
Be a role model and develop and maintain a culture of intellectual curiosity, data integrity, and continuous improvement
Develop a deep, working understanding of PitchBook’s full GTM motion, lead-to-opportunity, pipeline, renewal, expansion, and churn, and how each stage is operationally executed across Sales, Marketing, and Customer Success
Partner with GTM Operations, Commercial Ops, and Marketing Ops to stay current on process changes, system updates, and evolving definitions that affect how data should be interpreted
Serve as the analytics team’s subject matter expert on how business processes translate into data structures, ensuring analysis reflects operational reality, not just raw numbers
Proactively identify process gaps where lack of clean data or instrumentation is limiting insight quality, and escalate or partner to resolve them
Build close working relationships with Systems,and Data/Business Intelligence Engineering teams to deeply understand how data flows from source systems (Salesforce, Marketo, Gong, Snowflake) into reporting layers
Serve as the bridge between analytical consumers and technical data producers—able to ask the right questions of engineers and translate technical constraints into stakeholder-appropriate communication
Contribute to data governance and KPI definition work, ensuring metrics used in executive reporting have documented, agreed-upon logic
Stay ahead of planned system changes (CRM migrations, schema updates, tool additions) and ensure the analytics team is positioned to adapt without disruption to insight delivery
Own the team’s output quality standard for visual communication—ensure dashboards, reports, and ad hoc analyses are polished, accurate, and audience-appropriate across Tableau, Salesforce, and AI-assisted tools
Champion a “visualization-first” mindset: push the team to default to charts, heatmaps, and trend visuals over raw tables wherever a picture communicates faster
Build and maintain a library of reusable visual templates and best practices that can be delivered via Tableau, SFDC dashboards, PowerPoint, or AI-generated outputs depending on context
Actively pilot and embed AI tools (e.g., generative analytics, natural language query interfaces, Claude, or equivalent) to accelerate insight generation and enable self-serve for stakeholders
Ensure visual outputs are accessible and interpretable to senior audiences without analytical backgrounds, from WBR slides to QBR board packages
Own the WBR/MBR/QBR analytics track end-to-end, including pipeline, attainment, funnel performance, retention, and expansion, with polished narrative framing for C-suite audiences
Proactively generate forward-looking insights indexed to business impact; surface what the business should be asking before it thinks to ask
Validate hypotheses raised by operational, field, or finance leaders; deliver rigorous analysis that confirms, challenges, or reframes the original question
Act as a trusted thought partner to senior GTM leaders, translating complex analytical findings into plain language with clear implications and recommended actions
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested