• Provides support in collecting and organizing information required for preparation of user manuals, training materials, installation guides, proposals, and reports. • Edits functional descriptions, system specifications, user manuals, special reports, or any other customer deliverables and documents. • Provides support in performing financial and administrative tasks. • Under general supervision, is responsible for preparing and/or maintaining systems, programming, and operations documentation, procedures and methods. • Maintains a current internal documentation library. • Provides or coordinates special documentation services as required.

• be a key analytical partner to our Marketing organization • contribute to how Marketing understands its own performance • support data-informed decision making across campaigns and channels • help shape the data foundations that underpin our AI and automation capabilities • work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering

• Define how Marketing understands its own performance • Influence investment decisions at the leadership level • Shape the data foundations that underpin our AI and automation capabilities • Work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations

• Partner with Solution Architect, Sales Strategy, Ecosystem, and other Go-To-Market stakeholders and teammates to translate questions about pre-sales engagement, consumption, pipeline, and sales efficiency into clear analytical requirements. • Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, conversion, and overall sales metrics. • Craft well-structured, maintainable solutions in both business intelligence and AI tools that follow internal standards and make it easy for customer-facing teams to monitor performance and take action. • Partner with operational and data teams to define requirements for stakeholders and engagement data models, shaping how data is collected, structured, and made available for analysis. • Use segmentation, cohort analysis, and experimentation techniques, such as A/B testing, to inform scaled engagement strategies and forecast the impact of digital programs. • Serve as a subject matter expert in sales analytics by sharing best practices, documenting logic and methodologies, and providing guidance to help partners and other analysts use data to make better decisions.