[Remote] Senior Commercial Data Analyst

Note: The job is a remote job and is open to candidates in USA. Bonterra exists to propel every doer of good to their peak impact. The Senior Commercial Data Analyst will own the end-to-end bookings forecasting processes, lead quota allocation modeling, and ensure data integrity across commercial data systems.

Responsibilities

• Own end-to-end bookings forecasting processes, including weekly, monthly, and quarterly forecasting cycles
• Partner with Sales leadership to validate commit, upside, and risk, ensuring forecast accuracy and predictability
• Maintain back-testing models and continuously improve forecasting methodology
• Lead quota allocation modeling, coverage ratio analysis, and capacity planning
• Support annual and mid-year quota cycles with data-backed recommendations
• Build scenario models that inform AOP planning and compensation design
• Own bookings validation and reconciliation processes across CRM, CPQ, and Finance systems
• Ensure accurate classification of new logo, renewal, and expansion bookings
• Maintain controls that ensure attainment calculations and reporting outputs are reliable and audit-ready
• Support pipeline health analysis, attainment tracking, and plan-to-actual variance reporting
• Identify structural drivers of over- and under-performance and provide data-backed recommendations to Commercial leadership
• Create clear, consumable dashboards and reports in Amazon Quicksight and Excel that deliver actionable insights to stakeholders across Sales, Finance, and RevOps
• Develop reporting that simplifies complexity and supports confident decision-making
• Work closely with Sales Operations, Enterprise Applications, and Finance teams to ensure integrity and alignment across commercial data systems
• Assist in managing multiple data sources and ensure proper integration and synchronization
• Work with both structured and unstructured data while maintaining consistency and integrity
• Utilize Git for tracking changes in forecasting models, scripts, or configuration files
• Coordinate with data engineers or technical teams to ensure version control across databases, APIs, and reporting inputs
• Partner with cross-functional teams to implement improvements to forecasting processes, quota design, and planning rigor
• Lead structured project sprints when necessary and measure impact of implemented optimizations
• Identify inefficiencies in sales planning processes, pipeline governance, and quota allocation
• Develop data-driven recommendations that improve predictability, accountability, and performance
• Present structured, executive-ready summaries of forecast performance, quota design, and sales plan outcomes to Commercial and Finance leadership

Skills

• Extensive experience analyzing raw sales and bookings data, building forecasting and planning models, and translating insights into actionable recommendations
• Ability to clearly communicate forecast assumptions, risks, and planning insights in a compelling and structured way
• Experience presenting findings to senior leadership required; experience presenting to executive teams or investors a plus
• Fluency in Python and/or SQL (both preferred)
• Advanced Excel skills (modeling, scenario analysis, complex formulas)
• Experience with Salesforce and sales pipeline mechanics
• Experience with data visualization tools (PowerPoint required; Tableau, Power BI, or similar preferred)
• Experience with Amazon Quicksight a plus
• Experience working across CRM, CPQ, Finance, and reporting systems
• Familiarity with Git for managing scripts or model revisions
• Ability to ensure data consistency across multiple systems and inputs
• Ability to build strong working relationships across Sales, Finance, and RevOps while operating in a fast-paced and evolving environment
• Demonstrated ability to ask thoughtful questions about forecast assumptions, pipeline drivers, and quota structures
• Strong analytical mindset with a desire to understand root causes
• Comfortable managing multiple planning cycles, deadlines, and stakeholder requests simultaneously with strong attention to detail
• 4+ years of experience in sales operations, revenue analytics, business strategy, or related fields
• AI experience – familiarity with AI-driven forecasting tools or automation workflows
• Strong understanding of B2B sales processes and commercial success metrics
• Experience in a SaaS environment

Benefits

• Bonuses
• Incentives
• Equity
• A comprehensive benefits program
• A comprehensive benefits package that supports your health, well-being and growth - explore full details here

Company Overview

Company H1B Sponsorship