Copy of Revenue Analyst

About the role

TripleLift is seeking a data-driven Revenue Analyst to join our Revenue Operations team at the intersection of sales performance, commercial logic, and programmatic marketplace efficiency. In this role, you will partner with commercial leadership to translate complex datasets into actionable strategies that drive growth. The ideal candidate pairs an ownership mentality with professional skepticism and deep curiosity, looking past surface-level metrics to uncover true pipeline dynamics. You must be fluent in leveraging AI and automation tools to eliminate administrative overhead, optimize workflows, and scale operational velocity while ensuring integrity in revenue analysis. This position is critical for maintaining the accuracy of our global sales motions and supporting enterprise customers who rely on our insights. You will work closely with cross-functional stakeholders to standardize reporting narratives and align on data definitions across the business. Success in this role requires a balance of technical rigor and business acumen to navigate large-scale datasets and deliver clear recommendations. The Revenue Analyst will be a key partner in validating the health of our commercial engine and supporting high-stakes decision cycles.

Key facts

What you'll do

Design and maintain automated performance dashboards utilized across the company from Individual Contributors (ICs) to the Executive Leadership Team (ELT).

Audit and report on pipeline health and GTM activity inputs (e.g., meetings, email velocity, connection rates) within Salesforce to maintain data hygiene and provide recurring performance updates to sales leadership.

Support the verification process for quarterly and annual variable compensation cycles, reconciling sales credit splits across both direct bookings and Open Exchange (OX) revenue attribution.

Partner with Global Demand and Partner Management teams to evaluate Agency Holding Company deals by modeling margins, establishing standardized rate cards, and analyzing post-auction discounts and cash rebates to ensure sustainable commercial logic.

Synthesize large-scale marketplace exchange datasets to deliver weekly business reviews, variance analyses, and pacing models that detect underlying macro revenue shifts.

Construct scenario analyses to test the impact of pricing adjustments, inventory mix, and demand fluctuations on overall yield and forecast accuracy.

Develop and document repeatable methodologies for tracking revenue recognition trends, anomalies, and forecast deviations across key product lines.

Collaborate with Data Engineering to optimize data pipelines that feed into revenue reporting, ensuring definitions remain consistent and scalable over time.

Lead ad hoc analyses for strategic initiatives, including new product launches, market expansions, and partnership evaluations, to quantify potential value and risk.

Translate technical findings into concise narratives for executive stakeholders, highlighting key drivers, risks, and recommended actions.

Contribute to the enhancement of financial models used for budgeting, forecasting, and board-level reporting in alignment with company goals.

Monitor competitive and market signals that could impact revenue performance, and partner with commercial teams to adjust strategies accordingly.

Support the implementation and governance of revenue operations best practices, including documentation standards, SLAs, and KPI frameworks.

Act as a subject matter expert on revenue-related metrics, providing guidance to sales and finance teams on proper interpretation and usage.

Requirements

3 years minimum of highly analytical experience operating within programmatic media analytics, AdTech marketplace yield analysis, or revenue/financial operations. Familiarity with AdTech ecosystem measures, acronyms, and programmatic pipelines is strongly preferred.

Expert-level mastery of spreadsheet modeling (Advanced Excel formulas, pivot tables, Sheets Queries) and enterprise BI frameworks (Omni, Looker, Tableau). Salesforce experience is a plus.

Leverage AI architectures and low-code automation to move beyond individual hacks, building scalable, shared workflows for analyses and recurring reporting that reclaim capacity for high-value problem-solving.

Incurably Curious: Digs past surface-level summaries to relentlessly peel back data layers and diagnose the root causes of revenue swings.

Professionally Skeptical: Maintains a critical eye to catch data anomalies before they reach executives, tactfully challenging underlying business assumptions.

Actionable Synthesis: Distills massive, complex datasets and abstract industry concepts into crystal-clear executive summaries and highly actionable solutions.

Self-Directed Priority Champion: Thrives in commercial ambiguity, independent of direct supervision, and exercises judgment to set priorities that align with team and company objectives.

Detail-Oriented and Process-Conscious: Demonstrates meticulous care in managing data accuracy, version control, and documentation to ensure reproducibility and trust in outputs.

Ownership Mentality: Takes full responsibility for assigned projects, communicates transparently on trade-offs, and follows through to closure with stakeholders at all levels.

Practical notes

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