---
title: Senior Data Analyst at Envoy in San Francisco, CA
description: Envoy is hiring for the Senior Data Analyst role in San Francisco, CA. Pays $162.5K–$176.2K
  per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-data-analyst-at-envoy-01a18f24-b7b8-749a-8350-ecafce10b3f9
date: 2026-10-31T00:15:17Z
og_description: Join Envoy as Senior Data Analyst in San Francisco, CA. Pays $162.5K–$176.2K per
  year. Full-time, on-site role.
og_image: https://www.foundrole.com/og/l6xswy.png
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---

| | |
|---|---|
| **Company** | Envoy |
| **Location** | San Francisco, CA |
| **Salary** | $162.5K/yr - $176.2K/yr |
| **Type** | Full Time |
| **Posted** | Oct 30, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Envoy sponsors H-1B visas. It filed 9 H-1B petitions (FY2025 Q4 – FY2026 Q3).
- **E-Verify:** No E-Verify enrollment on record for Envoy.

## Pay for similar jobs

Most similar jobs pay $115,000 – $185,000 a year (median $155,000).

## Description

Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location.

From manufacturing sites and data centers to pharmaceutical labs, healthcare facilities, and corporate headquarters, Envoy makes safety, security and associated regulatory compliance something our customers can be proud of. The industry is littered with box-checking and arcane manual processes as the standard and we see our role as the company to bring experience, efficiency and simplicity everywhere. Great experiences bring great security – it's a requirement. We hope this problem space excites you and we hope you're ready to come sweat the details with us – we have a lot of customers counting on us! And it certainly won't be easy.

Learn more at [envoy.com](http://envoy.com)

# **About the role**

Marketing at Envoy runs on a mix of product-led signups, inbound demand and outbound motions across several products. You'll be the person who tells us which of those actually create pipeline and revenue — and you'll build the data foundation that makes the answer trustworthy.

This is a hands-on, technical role. You'll write production SQL and dbt models, not just query tables someone else built. You'll sit with Marketing and RevOps leadership as their analytical partner, and with the Data team as a builder who ships to the warehouse.

***This is an onsite position that requires at least 5 days a week (Monday - Friday) in our San Francisco HQ office.***

# **You will**

You'll work like a forward-deployed engineer embedded in Marketing: sit with the team, find the problem, and ship the data product that solves it — on AWS, in production, end to end.

- Own the marketing data platform on AWS. Build and run marketing pipelines across Redshift, S3, Glue, Lambda and Iceberg tables, with infrastructure defined in Terraform and deployed through GitHub Actions.

- Model the funnel in dbt. Ship tested staging, intermediate and mart models for lead → MQL → SQL → opportunity → closed-won, plus semantic models others self-serve from.

- Build attribution as a product. Design multi-touch attribution across web, paid, events, email and outbound, run it as scheduled jobs in Airflow, and expose it through governed tables and APIs.

- Ship internal apps, not just dashboards. Build lightweight tools Marketing uses daily — campaign ROI explorers, lead-routing consoles, self-serve query apps — on AWS Amplify, Lambda and API Gateway with Cognito/Okta auth.

- Build serverless data APIs. Expose warehouse metrics to apps, Slack and AI agents through Lambda-backed endpoints and MCP servers, with least-privilege IAM.

- Close the loop with reverse ETL. Sync scores, segments and product signals from the warehouse back into Salesforce, Marketo and Outreach so Sales and Marketing act on them.

- Engineer the event lake. Join Segment product events in S3/Iceberg to CRM records to measure product-qualified leads and PLG conversion at scale.

- Build lead scoring and intent models. Turn product usage, firmographic and job-change signals into scores in Python or Databricks, then deploy and monitor them in production.

- Run experiments and measure spend. Design A/B and holdout tests, and report CAC, payback and channel ROI with Finance.

- Use AI to move faster. Build with Claude Code and LLM tooling to prototype apps, generate models and automate analysis, with the rigor to verify the output.

- Keep it reliable. Own source freshness, data tests, CI checks, cost and monitoring so a broken pipeline never reaches a board deck.

# **You have**

- 5+ years in analytics, with at least 2 focused on marketing, growth or go-to-market analytics at a B2B SaaS company.

- Expert SQL: window functions, CTE-first style, query performance on a columnar warehouse (Redshift, Snowflake or BigQuery), and the judgment to spot a fan-out join before it reaches a dashboard.

- Production dbt experience: you've built layered models, written tests, and shipped through code review and CI.

- Fluency in Python for analysis and statistics (pandas, statsmodels or similar), including experiment design and causal inference basics.

- Deep familiarity with marketing and sales data: Salesforce objects (leads, contacts, campaigns, opportunities), marketing automation (Marketo or HubSpot), web and product event tracking (Segment or similar).

- Working knowledge of attribution approaches and their trade-offs, plus funnel and cohort analysis.

- Comfort with Git, pull requests and the command line.

- A track record of influencing decisions: you can explain a model's assumptions to a CMO in two sentences and defend them under questioning.

# **Nice to have**

- Experience with Airflow or another orchestrator, and with ingestion tools such as Fivetran or Estuary.

- Semantic layer or metrics-layer experience (dbt Semantic Layer, Omni, Looker).

- Data lake experience: Iceberg, Spectrum, Athena or Spark.

- Lead scoring, propensity or marketing-mix modeling.

- Exposure to sales engagement and revenue intelligence data (Outreach, Gong) or job-change signals.

- Experience using LLMs and AI tools to speed up analytics work, with the rigor to check their output.

   

 

*By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked* [*here*](https://envoy.com/privacypolicy/)*. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.*
## Skills

- Return On Investment
- Apache Iceberg
- Gong
- Salesforce
- Fivetran
- Influencing
- Outreach
- Amazon Web Services
- Data Ingestion
- Marketo
- Analytics
- Query Optimization
- Slack
- Statsmodels
- Experimental Design
- Pandas (Python Package)
- Amazon Cognito
- Extract Transform Load (Etl)
- Authentications
- Google Looker Analytics
- Least Privilege Access Control
- Code Review
- API Development
- Python
- Event Tracking (Analytics)
- Git (Version Control System)
- Go-to-Market Strategy
- API Gateway
- Business-to-Business (B2b) Sales
- GitHub Actions
- Automation
- Lead Routing
- Amazon Redshift
- Artificial Intelligence
- Okta
- Data Centers
- Databricks
- Cohort Analysis
- SQL
- Terraform
- Apache Spark
- Customer Relationship Management
- Causal Inference
- Product-Led Growth
- HubSpot
- Command-Line Interface
- Statistics
- Apache Airflow
- Snowflake
- CI/CD
- AI Agents
- Semantic Layer
- Envoy Proxy
- Lead Scoring
- Model Context Protocol (Mcp)
- Amazon Athena
- Identity And Access Management
- Large Language Models (Llm)
- Revenue Intelligence
- Serverless Computing
- Segment (Twilio Segment)
- Human Resources
- AWS Glue
- Marketing Qualified Lead (Mql) Management
- Marketing Mix
- Software as a Service (SaaS)
- Dbt (Data Build Tool)
- Semantic Modeling
- Window Function
- Data Lakes
- Claude Code
- BigQuery
- AWS Lambda
- Outbound Sales
- Sales
- Regulatory Compliance

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