Sr. Deal Desk Analyst | Remote, USA

Optiv is seeking a Sr. Deal Desk Analyst to join our Revenue Strategy team. This role is built for a high-performing individual who thrives in complex, fast-moving sales environments. You’ll take ownership of price benchmarking, competitive positioning, and deal analysis on Optiv’s most strategic transactions.

You won’t find a manual or a set of scripts. This is a role that requires proactive exploration, independent thinking, and relentless curiosity. You’ll need the grit to dig through fragmented data, the judgment to connect patterns into insights, and the confidence to challenge norms.

We’re looking for a self-directed powerhouse who can blend data analysis, deal strategy, and business instinct to help us win smarter and protect margin. If you thrive in ambiguity, know pricing is never just about the math, and want to shape outcomes in cybersecurity’s most competitive deals, this is your seat at the table.

How you'll make an impact:

• Perform advanced price benchmarking analysis to assess quote competitiveness, uncover margin leakage, and guide strategic pricing decisions.

• Evaluate pricing strength against competitive intelligence, leveraging internal and external data sources to sharpen our market position.

• Analyze large, complex deals and recommend pricing adjustments, structural changes, or vendor alternatives to improve profitability and win probability.

• Build and refine analytical models to support pricing guidance, scenario planning, and sales decision-making.

• Partner with Sales and Client Operations teams to influence quote strategy and pricing configuration on high-value deals.

• Lead or participate in executive deal reviews with clear, data-driven recommendations on pricing and risk mitigation.

• Establish scalable pricing intelligence processes and improve turnaround time through smarter workflows and automation.

• Contribute to strategic projects that enhance the deal desk’s role as a driver of revenue growth and margin expansion.

What we're looking for:

• Expert-level Excel skills and fluency in building models from raw data sets.

• Demonstrated success in conducting deal or pricing benchmarking analyses.

• Ability to synthesize complex pricing inputs into clear, actionable insights.

• A commercial mindset, understanding how pricing influences customer perception, sales strategy, and long-term value.

• Comfortable navigating ambiguity and figuring things out independently.

• Exceptional communication skills, with the ability to influence sales and leadership stakeholders.

• Track record of balancing analytical rigor with speed and execution in high-volume settings.

• Bachelor’s degree in Finance, Economics, Business, or a quantitative discipline preferred.

• 3+ years of experience in pricing strategy, deal desk, financial analysis, or revenue optimization preferred.

• Experience supporting sales teams in B2B tech, cybersecurity, VAR, or reseller environments preferred.

• Knowledge of Salesforce, CPQ tools, and pricing/revenue data platforms preferred.

• Familiarity with cybersecurity market dynamics and vendor landscapes is a plus.

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What you can expect from Optiv

• A company committed to championing Diversity, Equality, and Inclusion through our Employee Resource Groups.
• Work/life balance
• Professional training resources
• Creative problem-solving and the ability to tackle unique, complex projects
• Volunteer Opportunities. “Optiv Chips In” encourages employees to volunteer and engage with their teams and communities.
• The ability and technology necessary to productively work remotely/from home (where applicable)

EEO Statement

Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, age 40 and over, marital status, genetic information, national origin, status as an individual with a disability, military or veteran status, or any other basis protected by federal, state, or local law.

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