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Senior Marketing Data Analyst

Marketing AnalystMarketing AnalystFull TimeRemote

Location

United States

Posted

4 days ago

Salary

$136K - $160K / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role is central to transforming marketing data into actionable insights that drive business performance. As a Senior Marketing Data Analyst, you will:

  • Lead the investigation of performance trends, uncover root causes, and provide data-driven recommendations that influence strategic decisions.
  • Collaborate closely with marketing, revenue, and analytics teams to optimize campaign efficiency, funnel performance, and ROI.
  • Pioneer AI-driven analytics initiatives, building systems that accelerate decision-making and increase marketing impact.
  • Be curious, analytical, and proactive in diagnosing anomalies and proposing data-backed solutions.

Accountabilities:

  • Perform strategic analysis to uncover "why" behind campaign and funnel performance trends, providing first-pass diagnoses for executive decision-making.
  • Collaborate with cross-functional teams, including field, digital, events, integrated campaigns, and channel marketing, to optimize territory- and account-based performance.
  • Maintain data integrity and reporting hygiene across systems such as Salesforce, Snowflake, Sigma, and marketing automation platforms.
  • Architect and manage AI-driven analytics tools, training agents to answer complex business questions and provide actionable recommendations.
  • Translate complex datasets into executive-ready narratives and actionable insights to guide strategy and optimize marketing spend.
  • Mentor junior team members and elevate data literacy across the marketing organization.

Qualifications

  • 7+ years of experience in marketing analytics, business operations, or data science within B2B SaaS.
  • Proven ability to influence executive decision-making through data and business judgment.
  • Expert-level SQL skills and proficiency with modern cloud data warehouses (e.g., Snowflake) and BI tools (e.g., Sigma).
  • Deep understanding of B2B marketing funnels (MQL to Closed Won), attribution models, and ABM metrics (experience with 6Sense or Demandbase a plus).
  • Experience or strong interest in AI-driven analytics, semantic data modeling, or LLM-based data analysis.
  • Analytical mindset with strong problem-solving skills, capable of diagnosing performance anomalies and proposing solutions.
  • Strong communication and storytelling skills, able to present complex data in a clear and actionable way.
  • Bonus: MS degree in Data Science, Computer Science, or related field; experience with algorithms and optimization; experience in cybersecurity marketing analytics.

Benefits

  • Competitive salary ($136,000–$160,000 USD) based on experience and qualifications.
  • Potential eligibility for performance bonuses and restricted stock units (RSUs).
  • Flexible, remote-friendly work environment.
  • Comprehensive healthcare and retirement benefits.
  • Opportunities for professional development and growth within analytics and marketing domains.
  • Exposure to AI-driven analytics tools and the ability to influence business strategy at a senior level.

Company Description

Job Requirements

  • 7+ years of experience in marketing analytics, business operations, or data science within B2B SaaS.
  • Proven ability to influence executive decision-making through data and business judgment.
  • Expert-level SQL skills and proficiency with modern cloud data warehouses (e.g., Snowflake) and BI tools (e.g., Sigma).
  • Deep understanding of B2B marketing funnels (MQL to Closed Won), attribution models, and ABM metrics (experience with 6Sense or Demandbase a plus).
  • Experience or strong interest in AI-driven analytics, semantic data modeling, or LLM-based data analysis.
  • Analytical mindset with strong problem-solving skills, capable of diagnosing performance anomalies and proposing solutions.
  • Strong communication and storytelling skills, able to present complex data in a clear and actionable way.
  • Bonus: MS degree in Data Science, Computer Science, or related field; experience with algorithms and optimization; experience in cybersecurity marketing analytics.

Benefits

  • Competitive salary ($136,000–$160,000 USD) based on experience and qualifications.
  • Potential eligibility for performance bonuses and restricted stock units (RSUs).
  • Flexible, remote-friendly work environment.
  • Comprehensive healthcare and retirement benefits.
  • Opportunities for professional development and growth within analytics and marketing domains.
  • Exposure to AI-driven analytics tools and the ability to influence business strategy at a senior level.

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