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Lean Layer

Data-driven RevOps and BI services

GTM Specialist - Attribution, ROI & Performance

Business IntelligenceUpdated on Nov 13
Full-time$35k - $165k /yr

About the Job

Requirements

  • At least 6 years of hands-on experience in Marketing Operations, Revenue Operations, GTM Analytics, Business Intelligence, or similar roles.
  • Proven experience implementing marketing attribution, source tracking, campaign reporting, and GTM performance measurement in B2B environments.
  • Strong Salesforce and HubSpot experience, including CRM reporting, campaigns, custom fields, workflows, and integrations.
  • Experience with marketing automation platforms such as Marketo, HubSpot, or Salesforce Marketing Cloud Account Engagement.
  • Experience building first-touch, last-touch, and multi-touch attribution models.
  • Strong SQL skills and experience connecting and validating data across multiple systems.
  • Experience building reporting in tools such as Looker, Tableau, Power BI, or similar platforms.
  • Strong understanding of funnel conversion, pipeline attribution, customer acquisition cost, return on ad spend, and sales performance metrics.
  • Comfort building and troubleshooting integrations across CRM, marketing, and reporting systems.
  • Comfort working directly with clients and explaining technical decisions.
  • Ability to demonstrate personally built attribution models, reporting systems, and dashboards and explain how they work.

Responsibilities

  • Design and implement marketing source tracking, UTM capture, campaign tracking, and attribution models.
  • Build integrations between CRM, marketing automation, advertising, sales, and reporting platforms.
  • Configure CRM and campaign data capture to support accurate attribution.
  • Build marketing ROI, funnel conversion, pipeline contribution, and sales performance reporting.
  • Define, calculate, and validate key GTM metrics, including sourced and influenced pipeline and conversion rates.
  • Identify and resolve issues with data capture, inconsistent definitions, and reporting accuracy.
  • Use automation and AI to improve data quality, reporting, and analysis where practical.
  • Work directly with clients to understand their reporting requirements, data sources, and current systems.
  • Assess existing tracking and reporting, recommend practical improvements, and help clients make measurement decisions.
  • Own implementations from initial design through configuration, testing, validation, and documentation.
  • Work alongside RevOps Consultants and other technical specialists across multiple client engagements.
  • Train client teams to understand and maintain the reporting systems built.
  • Help develop implementation approaches, templates, and best practices for Attribution, ROI & Performance.
  • Share technical expertise and emerging technology with the broader consulting team.
  • Contribute to Deep Dive workshops, courses, and practical learning content.

Desired Qualifications

  • B2B SaaS experience, particularly with high-growth companies.
  • Consulting or agency experience across multiple client environments.
  • Experience with Snowflake, BigQuery, dbt, or similar data tools.
  • Experience integrating conversation intelligence and sales activity data.
  • Experience using AI for data validation, reporting automation, or analysis.
  • Ability to write Python or JavaScript when required.
  • Experience creating technical training or educational content.

About the Company

Lean Layer

Data-driven RevOps and BI services

Lean Layer provides revenue operations services powered by data and business intelligence to help revenue leaders gain visibility, take action on insights, optimize their funnel, and increase capacity to drive more revenue. It works by integrating data sources, building dashboards, and enabling guided workflows that surface actionable insights for sales, marketing, and customer success teams, aligning operations with revenue goals. What sets Lean Layer apart is its status as G2’s #1 rated RevOps service, reflecting its focus on data-driven visibility and measurable outcomes rather than generic services. Its goal is to help organizations become more data-driven in their revenue processes, improve funnel performance, scale operations, and ultimately grow revenue.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2019

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