About the job
OpenGov is a pioneering force in AI-driven ERP solutions tailored for local and state governments across the United States. With over 2,000 municipalities, counties, state agencies, school districts, and special districts leveraging the OpenGov Public Service Platform, we empower these organizations to function more efficiently, adapt to evolving challenges, and enhance public trust. Our suite of award-winning products includes enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, as well as transparency and open data solutions. These innovations converge within the OpenGov ERP, enabling public sector entities to prioritize their missions and maximize ROI on every dollar spent. Discover more about OpenGov's commitment to fostering effective and accountable governance and our vision for high-performance government in every community at OpenGov.com.
Job Summary
We are on the lookout for a data-driven and business-savvy GTM Strategy & Analytics Lead Data Analyst to become a vital part of our GTM Strategy & Analytics team. This role is essential for converting intricate data into actionable insights that guide strategic decision-making and enhance business performance across diverse functions. The ideal candidate will exhibit a robust combination of technical data analysis and analytics engineering prowess, alongside a solid grasp of business operations, coupled with the ability to communicate complex findings to non-technical stakeholders in a compelling manner. Your collaboration will extend closely with operations leadership, product managers, marketing teams, and various cross-functional departments to pinpoint opportunities, measure impacts, and shape our strategic trajectory.
Responsibilities
Cross-functional Collaboration: Immerse yourself with stakeholders across Product, Marketing, Sales, Finance, and Operations to comprehend their analytical requirements, translate business inquiries into data models, and deliver data-driven insights and resources that facilitate informed decision-making.
Data Expertise: Spearhead the development of impactful data resources that correlate customer and internal activities with outcomes, establishing a scalable model for future analyses. Working alongside Data Engineering and AI Operations, you will design a robust semantic framework, creating datasets for use across traditional reporting tools and conversational AI interfaces, overseeing the complete lifecycle of data models within the data warehouse and business intelligence tools.
Data Integrity & Governance: Collaborate with data engineering, systems, operations, and additional teams to ensure data quality, consistency, and accessibility for analytical purposes.

