Senior Manager, Marketing Portfolio and Analysis

New
United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
8+ years of experience in marketing analytics, performance marketing, growth strategy, or marketing finance, ideally in B2B SaaS or fintech environments.
Required Skills
SQLMicrosoft Power BISalesforceSnowflakeTableauMicrosoft ExcelGoogle SheetsBigQueryLooker

Requirements

  • 8+ years of experience in marketing analytics, performance marketing, growth strategy, or marketing finance, ideally in B2B SaaS or fintech environments.
  • Strong expertise in marketing funnel dynamics and performance metrics such as CAC, LTV, ROI, payback period, and pipeline conversion rates.
  • Proven ability to build scalable models, reporting systems, and scenario planning tools for marketing investment optimization.
  • Advanced proficiency in Excel or Google Sheets, along with strong experience using BI tools such as Tableau, Looker, or Power BI.
  • Hands-on experience with Salesforce, marketing automation platforms, and digital ad ecosystems (Google Ads, LinkedIn, Meta, DSPs).
  • Familiarity with data warehouses and querying tools such as SQL, BigQuery, or Snowflake.
  • Strong communication and storytelling skills, with the ability to translate complex analytics into executive-ready insights.
  • Bachelor’s degree in Business, Marketing, Economics, or related field (MBA preferred).

Responsibilities

  • Own the end-to-end U.S. paid media portfolio analysis, ensuring clear visibility into spend efficiency, ROI, and pipeline contribution across all digital channels (search, social, display, programmatic, and emerging platforms).
  • Develop and maintain scalable reporting frameworks, dashboards, and forecasting models to support budget pacing, scenario planning, and investment optimization decisions.
  • Partner with Finance, Marketing Strategy, and regional stakeholders to define quarterly and annual budget allocation strategies aligned with CAC, LTV, and revenue goals.
  • Lead performance deep dives, identifying efficiency opportunities, saturation signals, and trade-offs to continuously reallocate investment toward higher-performing channels and audiences.
  • Drive regular business reviews and performance readouts, delivering executive-level insights and actionable recommendations.
  • Ensure data integrity and alignment across CRM, marketing automation, and advertising platforms in collaboration with data and analytics teams.
  • Support attribution, incrementality testing, and marketing mix modeling efforts to improve decision-making and measurement accuracy.
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