

Collabera
Revenue Operations Manager
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Revenue Operations Manager, on-site in New York, San Francisco, or Los Angeles, for 7 months at $75-$80/hour. Requires 5+ years in Revenue/Sales Operations within digital advertising, strong SQL skills, and data visualization proficiency.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
April 25, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Los Angeles, CA
-
π§ - Skills detailed
#BigQuery #Automation #Scala #Tableau #Data Analysis #SQL (Structured Query Language) #Python #Visualization #Looker #Strategy #Datasets #SQL Queries
Role description
Client:Β Entertainment Provider
Title:Β Revenue Strategy and Operations Manager
Location/Time Zone (On-site): New York, NY 10036 / San Francisco, CA 94107 / Los Angeles, CA 90028 - On-site Role
Duration: 07Β Months (Potential Extension/Conversion)
Pay Range: ($75-$80) hourly
OverView:
β’ This is a data-driven Revenue Operations role focused on analyzing and improving SMB digital advertising performance.
β’ You will work directly with Sales and Marketing teams to drive revenue insights, optimize campaign performance, and build scalable reporting systems.
Required Qualifications (NON-NEGOTIABLE):
β’ 5+ years of experience in:
β’ Revenue Operations / Sales Operations / Marketing Analytics
β’ Digital Advertising / Ad-Tech / Media / Performance Marketing industry
β’ Strong hands-on experience with SQL (BigQuery preferred)
β’ Experience analyzing campaign performance, conversion funnels, and customer behavior
β’ Proficiency in data visualization tools (Looker, Tableau, or similar)
β’ Experience with Salesforce reporting and dashboards.
β’ Ability to translate data into clear business
β’ insights and recommendations.
Preferred (Nice-to-Have):
β’ Experience with CTV (Connected TV) or programmatic advertising
β’ Familiarity with marketing automation or sales engagement tools
β’ Python for data analysis
Required Industry Background (MANDATORY):
β’ Candidates must have direct experience in one or more of the following:
β’ Digital Advertising / Ad-Tech (DSPs, programmatic, paid media)
β’ Media / Streaming / OTT / CTV platforms
β’ Performance Marketing / Growth Marketing analytics
Responsibilities:
β’ Analyze sales pipeline, conversion metrics, and revenue performance to identify growth opportunities
β’ Evaluate digital advertising and marketing campaign performance (paid + organic) and recommend optimizations
β’ Write and optimize SQL queries (BigQuery preferred) to analyze large datasets (sales activity, customer behavior, campaign performance)
β’ Build and maintain dashboards (Looker, Tableau, Salesforce) to track KPIs and business performance
β’ Deliver actionable insights and executive-level reporting to support decision-making
Partner cross-functionally with Sales, Marketing, and Operations teams to improve efficiency and outcomes
Benefits:
β’ The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).
Client:Β Entertainment Provider
Title:Β Revenue Strategy and Operations Manager
Location/Time Zone (On-site): New York, NY 10036 / San Francisco, CA 94107 / Los Angeles, CA 90028 - On-site Role
Duration: 07Β Months (Potential Extension/Conversion)
Pay Range: ($75-$80) hourly
OverView:
β’ This is a data-driven Revenue Operations role focused on analyzing and improving SMB digital advertising performance.
β’ You will work directly with Sales and Marketing teams to drive revenue insights, optimize campaign performance, and build scalable reporting systems.
Required Qualifications (NON-NEGOTIABLE):
β’ 5+ years of experience in:
β’ Revenue Operations / Sales Operations / Marketing Analytics
β’ Digital Advertising / Ad-Tech / Media / Performance Marketing industry
β’ Strong hands-on experience with SQL (BigQuery preferred)
β’ Experience analyzing campaign performance, conversion funnels, and customer behavior
β’ Proficiency in data visualization tools (Looker, Tableau, or similar)
β’ Experience with Salesforce reporting and dashboards.
β’ Ability to translate data into clear business
β’ insights and recommendations.
Preferred (Nice-to-Have):
β’ Experience with CTV (Connected TV) or programmatic advertising
β’ Familiarity with marketing automation or sales engagement tools
β’ Python for data analysis
Required Industry Background (MANDATORY):
β’ Candidates must have direct experience in one or more of the following:
β’ Digital Advertising / Ad-Tech (DSPs, programmatic, paid media)
β’ Media / Streaming / OTT / CTV platforms
β’ Performance Marketing / Growth Marketing analytics
Responsibilities:
β’ Analyze sales pipeline, conversion metrics, and revenue performance to identify growth opportunities
β’ Evaluate digital advertising and marketing campaign performance (paid + organic) and recommend optimizations
β’ Write and optimize SQL queries (BigQuery preferred) to analyze large datasets (sales activity, customer behavior, campaign performance)
β’ Build and maintain dashboards (Looker, Tableau, Salesforce) to track KPIs and business performance
β’ Deliver actionable insights and executive-level reporting to support decision-making
Partner cross-functionally with Sales, Marketing, and Operations teams to improve efficiency and outcomes
Benefits:
β’ The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).






