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Senior Revenue Operations Analyst - tvScientific

Pinterest

Full-time
USA
$82k-$169k per year
analyst
operations
revenue operations
salesforce
business intelligence
Apply for this position

About tvScientific

We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).

As a Senior Revenue Operations Analyst, you will be a key strategic partner to the GTM (go-to-market) teams—Sales, Marketing, and Customer Success—driving data-driven insights, optimizing revenue workflows, and supporting scalable growth. You will bring analytical rigor, systems expertise, and a proactive approach to improve forecasting accuracy, pipeline health, campaign performance, and overall revenue efficiency.

What you'll do:

  • Serve as the primary point of contact and working in close contract with both managers and individual contributors within the Sales and Customer Success organizations to streamline lead-to-revenue workflows and champion data hygiene and data integrity efforts

  • Analyze sales pipeline trends, conversion rates, and revenue performance metrics to identify opportunities and risks

  • Own and enhance GTM reporting dashboards using tools like Salesforce and the tvScientific technology stack

  • Lead cross-functional initiatives with Sales, Marketing, and Customer Success to optimize revenue processes across the entire customer journey and drive greater business alignment

  • Support revenue forecasting and capacity planning in partnership with Finance and Sales Leadership

  • Assist in tool evaluation, implementation, and integration (e.g., CRM, MAP, BI platforms)

What we're looking for:

  • 4–7+ years of experience in Revenue Operations, Sales Operations, Business Intelligence, or related field

  • Deep knowledge of SaaS or ad tech revenue models; performance marketing experience is a strong plus

  • Advanced Excel/Google Sheets skills; strong proficiency with Salesforce CRM and reporting tools (Looker, Tableau, etc.)

  • Experience managing and analyzing large datasets to uncover actionable insights

  • Familiarity with marketing automation platforms (e.g., HubSpot, Marketo) and attribution systems

  • Strong business acumen and ability to translate data into strategic recommendations

  • Self-starter with a proactive mindset, excellent communication skills, and high attention to detail

  • Bachelor’s degree in Business, Finance, Economics, or a related analytical field (MBA is a plus)

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-AT6

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About the job

Full-time
USA
Senior Level
$82k-$169k per year
Posted 10 hours ago
analyst
operations
revenue operations
salesforce
business intelligence

Apply for this position

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Senior Revenue Operations Analyst - tvScientific

Pinterest

About tvScientific

We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).

As a Senior Revenue Operations Analyst, you will be a key strategic partner to the GTM (go-to-market) teams—Sales, Marketing, and Customer Success—driving data-driven insights, optimizing revenue workflows, and supporting scalable growth. You will bring analytical rigor, systems expertise, and a proactive approach to improve forecasting accuracy, pipeline health, campaign performance, and overall revenue efficiency.

What you'll do:

  • Serve as the primary point of contact and working in close contract with both managers and individual contributors within the Sales and Customer Success organizations to streamline lead-to-revenue workflows and champion data hygiene and data integrity efforts

  • Analyze sales pipeline trends, conversion rates, and revenue performance metrics to identify opportunities and risks

  • Own and enhance GTM reporting dashboards using tools like Salesforce and the tvScientific technology stack

  • Lead cross-functional initiatives with Sales, Marketing, and Customer Success to optimize revenue processes across the entire customer journey and drive greater business alignment

  • Support revenue forecasting and capacity planning in partnership with Finance and Sales Leadership

  • Assist in tool evaluation, implementation, and integration (e.g., CRM, MAP, BI platforms)

What we're looking for:

  • 4–7+ years of experience in Revenue Operations, Sales Operations, Business Intelligence, or related field

  • Deep knowledge of SaaS or ad tech revenue models; performance marketing experience is a strong plus

  • Advanced Excel/Google Sheets skills; strong proficiency with Salesforce CRM and reporting tools (Looker, Tableau, etc.)

  • Experience managing and analyzing large datasets to uncover actionable insights

  • Familiarity with marketing automation platforms (e.g., HubSpot, Marketo) and attribution systems

  • Strong business acumen and ability to translate data into strategic recommendations

  • Self-starter with a proactive mindset, excellent communication skills, and high attention to detail

  • Bachelor’s degree in Business, Finance, Economics, or a related analytical field (MBA is a plus)

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-AT6

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