Value Engineering Analyst

About the role

The plays a pivotal role in transforming complex legal and operational metrics into clear, digestible business cases that facilitate client acquisition and empower sales teams. This position acts as a critical bridge between technical capabilities and financial justification, translating Disco's sophisticated solutions into compelling value narratives for enterprise buyers. The analyst partners closely with Value Engineering leadership, Sales Enablement, and Product Marketing to build a scalable, institutional-grade value engine. Success in this role is defined by the ability to turn raw data into strategic insight that directly influences win rates, deal velocity, and overall deal size. The analyst is expected to proactively adopt and responsibly use AI tools to drive efficiency and improve outcomes in their daily work, ensuring that the value story remains dynamic and data-driven.

Location: USA

Engagement: Full-time (implied by standard job structure)

What you'll do

The Value Engineering Analyst is responsible for owning the end-to-end value narrative for Disco, ensuring that financial modeling, enablement, and analytics align to support enterprise sales efforts. Key responsibilities include:

• Model Ownership: Builds, maintains, and refines Disco's suite of financial modeling tools, pricing calculators, and business case templates. These models must be flexible, logical, and capable of supporting complex legal environments and pricing strategies.
• Enablement and Training Delivery: Works closely with Sales Enablement to design and deliver training that helps SDRs, Account Executives, and Customer Success Managers self-serve baseline value assessments. This includes creating enablement content that empowers commercial teams to conduct accurate and independent value analysis.
• Strategic Deal Support: Collaborates with senior Value Engineers to perform in-depth data analysis, run operational diagnostics, and package clean, executive deliverables for Disco's largest enterprise pursuits. This ensures that value propositions are backed by rigorous data.
• Impact Analytics: Owns data tracking and analytics for the Value Engineering office, demonstrating the direct impact of the team on Disco's win rates, deal velocity, and deal sizes. This includes monitoring tool adoption and usage patterns to ensure maximum utilization.
• Tool Refinement and Process Governance: Evaluates how tools are adopted and used in daily workflows to identify areas for process improvement and optimization. This involves assessing existing business processes and recommending enhancements that increase efficiency and consistency in value analysis.
• Data Structuring and Visualization: Transforms raw, unstructured operational data into a highly structured, visual, and simple business narrative for diverse stakeholders. This requires the ability to take complex information and translate it into digestible insights.
• Cross-functional Collaboration: Partners with Product Marketing to ensure value messaging is aligned with product positioning and market requirements. This collaboration ensures that the value narrative remains consistent and compelling across all customer touchpoints.
• Scenario Development: Constructs flexible, logical mathematical models that support pricing strategies and ROI projections for complex legal environments. These models must be adaptable to various client scenarios and use cases.
• Executive Reporting: Packages analytical results into clean, executive-ready deliverables that support high-stakes enterprise sales cycles. This includes creating presentations, dashboards, and reports that clearly articulate value.

Requirements

The ideal candidate brings a strong foundation in analytical rigor, business acumen, and technical proficiency. The following requirements are essential for success in this role:

• Experience: 5+ years of experience in management consulting, corporate finance, or sales operations. This background ensures familiarity with enterprise sales cycles, financial modeling, and operational analysis.
• Technical Proficiency: Highly proficient in Excel and comfortable building flexible, logical mathematical models. The ability to construct scenarios, run diagnostics, and support pricing strategies is critical.
• Data Storytelling: Ability to take raw, unstructured operational data and package it into a highly structured, visual, and simple business narrative. This skill is vital for making complex data accessible to both technical and non-technical stakeholders.
• Process Improvement: Demonstrated ability to improve business processes and evaluate how tools are adopted and used in daily workflows. This includes identifying gaps, recommending optimizations, and ensuring consistent application of methodologies.
• Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. Disco is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and visa transfers are not accepted.

Nice to have

The source material does not specify any "Nice to have" qualifications. All listed requirements are considered essential based on the available information.

Practical notes

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Engagement: Full-time, on-site role based in Austin, TX.

• Equal Opportunity: Disco is an equal opportunity employer and values diversity. The company does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This role is ideal for a detail-oriented analyst who thrives in fast-paced environments and is passionate about leveraging data to drive business growth.