Sr. Data Analyst, Commercial Intelligence

PitchBook Data•Seattle, WA

14h•$100,000 - $132,200•Onsite

About The Position

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook’s go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle. We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue. In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions.

Requirements

Bachelor’s degree in Business, Analytics, Statistics, Economics, or a related field (Master’s preferred)
5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role
Strong understanding of B2B revenue and GTM metrics, including funnel performance, pipeline health, conversion rates, retention, and forecasting
Advanced SQL skills and experience with modern data platforms (e.g., Snowflake, BigQuery); working proficiency in Python, R, or similar languages preferred
Experience building executive-ready dashboards and reporting using BI tools such as Tableau, Power BI, or Looker
Proven ability to synthesize complex data into actionable insights and communicate clearly with senior stakeholders
Strong cross-functional collaboration skills in matrixed environments
Genuine interest in AI-driven analytics, intelligent automation, and emerging data tools
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Responsibilities

Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights
Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting.
Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion
Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency
Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes
Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making
Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices
Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives
Support company values through role modeling and strong cross-functional partnership
Participate in key company initiatives and projects as needed