The Revenue Operations Intelligence team supports Marketing and Commercial groups by delivering reliable reporting, trusted metrics, and consistent insights that keep the business running and informed. As a Data Analyst, you will focus on core reporting and ongoing operational analytics (KTLO) that enable teams to monitor performance, track trends, and make informed operational decisions.
As a Data Analyst, you will own core reporting and ongoing operational analytics (KTLO), enabling teams to monitor performance, identify trends, and make informed day-to-day decisions.
This role is well suited for an analyst who excels in reporting ownership, data quality, documentation, and stakeholder support, and who can independently manage recurring analytics needs while upholding high standards of accuracy and consistency.
Primary Job Responsibilities:
Own and maintain recurring reporting and dashboards used by Revenue Operations and business stakeholders
Ensure ongoing reliability, accuracy, and timeliness of core reports and metrics (KTLO)
Monitor reporting pipelines and dashboards for data quality issues, breakages, or anomalies
Respond to recurring and ad hoc reporting requests with speed and precision
Maintain documentation for reports, dashboards, metric definitions, and data sources
Support web and digital analytics reporting across marketing and revenue-related touchpoints
Analyze web performance metrics such as traffic, engagement, conversion, and funnel performance
Partner with stakeholders to ensure consistent implementation and interpretation of web metrics
Assist with validation and troubleshooting of tracking issues in analytics platforms
Translate web and digital performance data into clear insights for non-technical audiences
Update implementation on website using Google Tag Manager
Help define, maintain, and enforce metric definitions and business logic across reports
Partner with Platform and Engineering teams to support tracking, tagging, and data collection needs
Create audits and checks to ensure data hygiene and consistency across systems
Identify gaps or inconsistencies in tracking and escalate recommendations for improvement
Serve as a reliable analytics partner to Revenue Operations and business stakeholders
Support stakeholder questions related to dashboards, metrics, and reporting interpretation
Collaborate with other analysts, platform teams, and engineering partners to support reporting infrastructure
Contribute to analytics standards, best practices, and process improvements
Support the vision and values of the company through role modeling and encouraging desired behaviors.
Participate in various company initiatives and projects as requested
Skills and Qualifications:
Bachelor’s degree or equivalent experience required
2-5 years previous experience in a Data Analyst or Reporting-focused Analytics role
Strong proficiency in SQL, including writing complex queries for reporting and analysis
Hands-on experience building and maintaining dashboards in Tableau or similar BI tools
Experience working with web analytics platforms (e.g., GA4, Adobe Analytics)
Familiarity with Google Tag Manager or tracking implementation concepts
Strong attention to detail and commitment to data accuracy and consistency
Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word and Excel with the ability to pick up new systems and software easily.
Experience with Salesforce, Snowflake, or modern data warehouses preferred
Experience supporting marketing, acquisition, or revenue-focused web analytics preferred
Exposure to documentation standards, data governance, or analytics QA processes preferred
Working Conditions:
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
037_PitchBookDataInc PitchBook Data, Inc Legal Entity
