Senior Analytics Engineer (GTM Data Modeling & Funnel Analytics)

This is a Fully Remote Job

1. About Our Client:

The organization operates in the automation and data orchestration industry, providing resilient Python-based orchestration and multi-cloud platform (MCP) solutions. It addresses the challenge of managing unpredictable automated workflows by delivering tools that enhance confidence in automated processes across mission-critical data pipelines and AI agent fleets. The organization’s ecosystem includes open-source and commercial products trusted by Fortune 500 companies and technology innovators worldwide. It maintains a remote-first, high-performance culture focused on ownership and collaboration.

2. About the Opportunity:

The Senior Analytics Engineer role is focused on owning and developing the analytics and data modeling for go-to-market (GTM) activities. This position involves defining and maintaining comprehensive funnel models that track customer progression from initial contact through activation to paying customer status across both self-serve and sales channels. The role is critical for providing actionable insights that guide marketing, sales, and product teams, enabling data-driven decision making and efficient GTM execution.

3. Responsibilities:

• Develop and maintain a unified GTM data model with clear definitions for accounts, activated workspaces, and pipeline stages.
• Model the self-serve customer funnel end-to-end, tracking user progression and drop-off points.
• Model the sales funnel comprehensively, incorporating real Salesforce data for accurate stage conversion and velocity analysis.
• Build and document marketing attribution models accepted by marketing and sales teams, including first-touch, last-touch, and multi-touch.

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• Calculate unit economics such as CAC, payback, LTV/CAC, and ROI by channel and segment.
• Develop and deploy reporting layers that empower GTM teams to access insights independently.
• Support and shape the GTM operational rhythm including pipeline reviews, funnel meetings, and board reporting.

4. Requirements:

• Minimum four years experience building production analytics models using dbt on cloud data warehouses with version control and testing.
• Proficiency in SQL and intermediate Python for API integrations and data enrichment.
• Experience creating and maintaining semantic layers in tools like Omni or Looker.
• Proven work with GTM teams on funnel conversion, attribution, and unit economics using CRM data (Salesforce or HubSpot).
• Familiarity with GTM systems such as Salesforce, Amplitude, Segment, and HubSpot.
• Experience in product-led or self-serve business models involving activation, trial conversion, and usage-based revenue.
• Technical background in engineering or data, including coding and deploying own work.
• Comfort with AI-native development environments.

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5. Pay Range and Compensation Package:

• San Francisco Bay Area & NYC Metro: $173,000–$222,000
• Washington D.C., Boston: [Details truncated]
• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.