Pega provides the leading AI-powered platform for enterprise transformation. The world's most influential organizations trust our technology to reimagine how work gets done by automating workflows, personalizing customer experiences, and modernizing legacy systems. Since 1983, our scalable, flexible architecture has fueled continuous innovation, helping clients accelerate their path to the autonomous enterprise.

What You'll Do at Pega:

The Go-to-Market Analytics and Insights Analyst II will partner with other internal team members, as well as partners across the Go-to-Market function. This role will be a key business partner to these teams by building and maintaining data products to support actionable insights that help drive optimal business outcomes. You will contribute to ongoing analytics initiatives, help ensure data quality and consistency, and look for opportunities to improve how data is delivered and used across the business.

In this role you will:

Build, maintain, and enhance dashboards, reports, and analytical data products used by GTM teams

Ensure data products deliver accurate, consistent, and actionable insights aligned to standardized KPI definitions and data models

Apply best practices in data visualization, performance optimization, and reporting design to improve usability and adoption

Contribute to the development and enhancement of data products that improve efficiency and support decision-making

Partner with stakeholders and team members to translate business needs into reporting and analytical outputs

Perform ad hoc analyses to uncover insights and support business performance

Contribute to the design and evolution of scalable analytical solutions and reporting approaches

Define requirements, logic, and structure for dashboards and analyses with guidance and feedback from team members

Help standardize reporting structures, KPI frameworks, and data product design

Identify opportunities to improve analytical approaches, reporting processes, and data quality

Collaborate on team initiatives exploring new tools, technologies, and analytical approaches (e.g., GenAI-enabled analytics, automation)

Support continuous improvement through documentation, process enhancements, and adoption of best practices

Who You Are:

The ideal candidate has a solid foundation in reporting and analytics and contributes accurate, consistent outputs. You’re intellectually curious about data and how it drives business decisions, motivated to solve problems, and excited to continue developing your technical, analytical, and communication skills in a fast paced, collaborative environment. You take ownership of your work, actively seek learning opportunities through hands on experience, feedback, and mentorship, and contribute thoughtfully to team initiatives. You enjoy working with modern analytics tools and are energized by the opportunity to support meaningful business outcomes while steadily expanding your impact over time.

Solid foundation in reporting, data analysis, and visualization, with experience building and maintaining dashboards and reports

Detail-oriented with a focus on data accuracy, consistency, and alignment to defined metrics and business logic

Analytical thinker who connects data outputs to business context and supports actionable insights

Independently manages reporting and data-related tasks with guidance as needed

Organized and able to manage multiple priorities effectively

Identifies issues, asks clarifying questions, and progresses work to completion

Collaborates effectively with team members and stakeholders to deliver consistent outputs

Experience working with data tools across reporting, data management, and visualization

Continues to build skills in data modeling and scalable reporting approaches

Works in evolving problem spaces using structured, data-driven approaches

What You've Accomplished:

Brought new innovative ideas and approaches to looking at data and reports that led to groundbreaking new insights.

Taken complex data/information and make it simple, scalable, and actionable that led to measurable business impact.

Established strong stakeholder relationships and provided support to ensure success.

Have turned data into trusted information used to drive decisions and actions.

Identified process gaps or areas for optimization while also helping drive it from design to completion.