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Strategy & Pricing Analyst

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: OpenGov Inc.
Full Time position
Listed on 2026-03-11
Job specializations:
  • Business
    Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below

Open Gov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the Open Gov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data.

These solutions come together in the Open Gov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about Open Gov’s mission to power more effective and accountable government and the vision of high-performance government for every community at

About

The Role

We are looking for an individual to support the build‑out of our Strategy and Pricing function and help guide us in our new stage of growth. The Strategy & Pricing Analyst works directly with the Strategy & Pricing Manager and partners closely with GTM leadership, Product Marketing, and Finance.

You will work on core projects that shape how Open Gov goes to market and monetizes its products. This includes owning market analysis, conducting competitive assessments, supporting annual and quarterly planning cycles, and leading pricing analysis for new product launches, packaging updates, and market expansion efforts.

Responsibilities
  • Lead end-to-end market analysis to shape strategic decisions across GTM, product, and corporate development—partnering cross‑functionally to size markets, assess competitive dynamics, to provide direction on targeted GTM strategies, product roadmap, and M&A opportunities
  • Lead analysis on key drivers of GTM success and collaborate with Applied AI team to build out strategic datasets which can drive better targeting and GTM motions as well as for use in high level market analysis
  • Lead quantitative pricing analysis for new product launches, packaging updates, new modules, and partnership offerings, including revenue modeling and scenario analysis to assess impact on growth and margin.
  • Support annual planning efforts across key GTM work streams, including target setting, org design, and strategic planning; contribute to supporting collateral and present company performance insights to C-level leadership.
  • Support pricing and packaging for new product launches and recurring updates—drive quantitative analysis on pricing realization, competitive pricing, and win rates across segments to identify patterns and recommend adjustments that improve pricing performance.
  • Deliver deep dive quantitative analyses for GTM leadership, combining sales, market and to identify root cause of issues and present on strategies for growth / improvement (e.g., pipeline, churn, operational inefficiencies) and pairing field data with market context.
Requirements
  • 1–3 years of experience in strategy, finance, consulting, operations, pricing, or other analytical roles.
  • Self-starter with a strong sense of ownership and the ability to ramp quickly and drive initiatives independently.
  • Expert in Excel or Google Sheets, with experience building and maintaining financial or operational models
  • Comfortable working with raw data across multiple sources to structure analyses and extract insights.
  • Strong analytical thinking and ability to translate business problems into clear analytical frameworks
  • Strong written and verbal communication skills.
  • Proven ability to manage projects independently while collaborating cross‑functionally.
  • Bachelor’s degree in Business, Economics, Finance, Computer Science, Engineering, Mathematics, or a related field
Preferred Experience
  • Experience building market sizing models
  • Exposure to SaaS pricing or revenue analysis.
  • Familiarity with BI tools (e.g., Looker, Tableau).
  • Proficiency with coding languages such as SQL or Python
  • Understanding of AI fundamentals, including how LLM‑based tools can be used to streamline processes and support data collection and analysis.
Compensation

$100,000 - $120,000

On target ranges above include base plus a portion of variable…

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