Senior Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $154k - $222k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Prefect

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Prefect is a platform that provides modern workflow orchestration for data and machine learning engineers. It allows users to easily and efficiently orchestrate any Python workflow using dynamic, right-sized infrastructure. Prefect focuses on orchestration and observability of code, providing features like scheduling, automatic retries, visibility into workflows, and the ability to configure execution environments. The platform supports pure Python code, allowing the flexibility to write code without boilerplate or strict Directed Acyclic Graphs (DAGs), and aims to offer prompt recovery from failures with custom retry behaviors and caching. It offers both cloud and open source solutions, assisting developers in building and deploying data pipelines with ease and full visibility.

📋 Description

• Own the go-to-market data model, including definitions of accounts, activated workspaces, and pipeline; version control, test, document, and deploy it • Model the self-serve funnel end to end for Prefect Cloud and Dagster+, from first visit through signup, activation, paid conversion, and expansion • Model the sales funnel from source through MQL, SQL, pipeline, and closed won, including stage conversion and velocity, using Salesforce data • Build first-touch, last-touch, and multi-touch attribution models with documented assumptions • Build unit economics including CAC and payback by channel and segment, LTV/CAC, campaign and event ROI, and self-serve versus sales-assisted analysis • Obtain and integrate missing spend data • Ship the reporting layer for two Omni instances, one per product; Looker experience transfers directly • Support pipeline reviews, the weekly funnel meeting, and board reporting • Work with marketing, sales, RevOps, and product • Report to Gabriel Madureira, Chief Growth Officer

🎯 Requirements

• Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control • Strong SQL • Enough Python for API pulls, spend data, and one-off enrichment • Experience building and maintaining a semantic layer in Omni, Looker, or something comparable • Direct work with go-to-market teams on funnel conversion, attribution, and unit economics like CAC, payback, and ROI • Experience using real CRM data from Salesforce or HubSpot • Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, Hubspot • Experience in a product-led or self-serve business: activation, trial conversion, PQLs, usage-based revenue • Background in engineering or data; ability to write code, read other people's code, and deploy own work • Comfort with AI-native development

🏖️ Benefits

• Remote-first team with flexible-first culture • Equity Stock Options • 401(k) with 5% company match (vests immediately!) • Unlimited PTO • Medical, Dental and Vision insurance • Generous Parental Leave • Life Insurance and Disability benefits • $800/month remote work stipend