Revenue Strategy and Operations Manager

Revenue Strategy and Operations Manager PMOUNTJP00001123

• Hourly pay: $90/hr
• Worksite: Leading digital streaming network (Los Angeles, CA 90028, San Francisco, CA 94107, or New York, NY 10036 - Onsite, Candidates located in Los Angeles are preferred).
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 8 Month Assignment

A leading digital streaming network seeks a Revenue Strategy and Operations Manager. The successful candidate will drive impact across SMB sales and marketing by delivering business insights, building automated reports, and improving sales workflow efficiency.

Revenue Strategy and Operations Manager Responsibilities:

• Partner with sales leadership to track sales pipeline progress, meeting and pitch velocity, and sales productivity to drive new customer activation and retention.
• Monitor and analyze the effectiveness of paid and organic marketing efforts, iterating on strategies to improve engagement and conversion rates.
• Recommend and help implement improvements to our sales and marketing efforts based on analytical deep dives into the SMB business.
• Analyze large datasets related to sales activity, prospective customer behaviors, interactions, and marketing initiatives.
• Create impactful presentations and develop reports to address business needs and provide insights into customer segmentation, engagement, and lifetime value, and recommendations to senior leadership and cross-functional teams.
• Translate complex data into visually compelling and actionable insights for stakeholders across the organization.
• Develop interactive dashboards using visualization tools such as Google Looker, Salesforce CRM Analytics, and Tableau to track KPIs, visualize customer segmentation, and monitor campaign performance.

Revenue Strategy and Operations Manager Qualifications:

• 5+ years of experience in Data Analysis, Sales Operations, Revenue Operations, or Management Consulting within a digital advertising space.
• Bachelor's degree in Business, Computer Science, Statistics, Mathematics, Economics, or a related field. A master's degree is preferred.
• 2+ years of SQL (experience working with BigQuery preferred).
• Python experience is preferred.
• CTV experience is preferred.
• Experience with Salesforce and developing Salesforce dashboards.
• Experience with marketing automation platforms (e.g., Salesforce Marketing Cloud/Pardot) and sales sequencing tools (e.g., Salesloft, Apollo, Outreach) is preferred.
• Strong digital advertising background, coupled with technical experience, and leverage both to provide actionable insights with work plans to implement them.
• Proficiency in data visualization tools, including Google Looker.

Shift:

• 9:00 am to 6:00 pm.

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