Senior Pricing Analyst

Conga•Boston, MA

2d•Hybrid

About The Position

As Senior Pricing Analyst, you will be the analytical engine supporting our Pricing Strategy team. You will master Conga's commercial and customer data and build the analytical infrastructure - dashboards, metrics, models, reports, and insights - that enables effective pricing decisions. This hands-on role requires strong technical skills, comfort with large datasets, and the ability to translate complex data into clear, actionable insights. You're joining at a pivotal time—Conga is undergoing a major pricing transformation. You'll help build our pricing analytics capabilities from the ground up, establishing data infrastructure, metrics frameworks, and analytical processes that will shape pricing for years to come. Your insights will drive how we package products, price offerings, and respond to market dynamics—directly impacting competitive positioning and growth.

Requirements

Experience: 5-7 years in pricing analytics, business analysis, or revenue operations (preferably B2B SaaS); strong understanding of statistical analysis and SaaS metrics.
Tools: Advanced in Excel, SQL, Python, R (or similar), and data visualization tools (Tableau, Power BI, Looker); experience with Salesforce.
Analytical Mindset: Ability to translate complex data into actionable insights.
Communication Skills: Clear, concise communicator with strong interpersonal skills.
Initiative: Highly organized, proactive, and comfortable managing multiple priorities in a fast-paced environment.
Education: Bachelor's in finance, economics, statistics, data analytics, mathematics, or related field; Master's degree a plus.

Nice To Haves

Master's degree in quantitative field
Knowledge of customer segmentation, behavioral analytics, survey design, SKU management, or financial modeling
Experience with pricing software (Pricefx, PROS, Vendavo) or pricing experiments/A/B tests
experience with CPQ, CLM solutions

Responsibilities

Analytics & Data mastery: Conduct quantitative analyses (e.g., churn, margin impact), build pricing models and revenue forecasts, and analyze commercial and customer data using SQL, Python, or R to uncover patterns and opportunities.
Dashboards & Reporting: Design and maintain pricing dashboards and KPI tracking in Tableau, Power BI, or Looker; deliver automated and ad-hoc reports on pricing performance, discount effectiveness, and competitive positioning.
Market Intelligence: Lead competitive benchmarking, market/customer research, survey design, and win/loss analysis to inform pricing decisions.
Financial Modeling & Experiments: Build financial models, ROI and economic value analyses; support pricing experiments and A/B testing.
Pricing Operations: Manage SKU creation, catalog updates, and system implementations; collaborate with Sales Ops, IT, and Finance; maintain accurate pricing documentation.