Senior Marketing Analyst

Описание

This role involves owning marketing attribution and measurement across channels, building AI-driven analytical skills, and removing grunt work so that your time goes to judgment.

Responsibilities

• Own how we model attribution and measure performance across channels - first/last/multi-touch, custom windows, cross-channel paths, LTV-driven logic for complex funnels
• Make the numbers trustworthy and explainable
• Connect paid media, on-site behavior, CRM, and backend revenue into one end-to-end view
• Diagnose where the funnel leaks and why the unit economics do or don’t work - at a business level, not just a metrics level
• Read paid-channel platforms (Meta & Google) like an operator: how the auction behaves, where spend hides, why CPA spikes, what the data is really telling you
• Turn platform insights into reallocation and optimization decisions
• Build the skills, queries, and automations that do the heavy lifting - using AI agents (Claude Code, Cursor, Codex) to generate, refactor, and validate SQL and analysis
• Design repeatable pipelines, not one-off pulls
• Build clear, accessible dashboards and reporting (Power BI / Looker / Tableau-class) that make insight usable by the team and clients
• Pair real-time anomaly detection with sane evaluation windows (7–14 days) so decisions are signal, not noise
• Partner with product, data, and engineering on what “correct” looks like - so the product reasons about marketing the way a great analyst would

Requirements

• Excellent SQL: you write complex queries fluently, reason about data models, and can debug and optimize what an AI agent generates for you
• Proven experience in marketing analytics and marketing in general
• Experience with attribution, cross-channel / end-to-end analytics, and analysis of Meta and Google Ads
• Understanding of performance marketing and web funnels from the inside, not from a course
• Hands-on experience with AI coding agents - Claude Code, Cursor, Codex or equivalent - and a track record of building skills and automations with them, not just chatting with a model
• You think in systems: repeatable pipelines and automated analysis, not manual one-off pulls
• Proficiency with version control - you version your queries, skills, and analysis like an engineer, not in scattered files
• Strong communication - you translate data into decisions a marketer or founder can act on
• Professional-level English (our clients are in the US market)
• Reliable overlap with US business hours
• Based in North America or LATAM

Nice to have

• Python for analysis and data manipulation beyond SQL
• Experience with dbt, modern data warehouses (BigQuery, Snowflake), or ETL/pipeline work
• Hands-on with web/measurement tooling - GA4, GTM, server-side tracking, consent - and where attribution actually breaks in production
• Experience in segments with complex funnels and LTV-driven models (EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services)
• A track record of owning projects independently - you take a problem, run it to a result, and stand behind the outcome, with minimal hand-holding
• Public samples we can read - SQL, dashboards, an agent skill you built, a write-up

We offer

• Competitive compensation - aligned with senior marketing-analytics experience; specifics discussed individually
• AI-first culture, for real - the whole company works in Cursor with a shared workspace and premium team access to AI tools
• You’ll have the best agentic tooling in the industry and a team that expects you to use it
• Maximum impact - your attribution models and analysis directly shape both client outcomes and the AI product itself
• Not a corporation where insight drowns in bureaucracy
• Remote - work from anywhere in North America or LATAM with reliable US-hours overlap

Hiring process

• Application - CV + short answers (see below). We aim to respond within 48 hours
• Intro call (People & Operations, ~30 min) - company overview, background, motivation, logistics
• Technical interview - deep dive on SQL, marketing attribution / cross-channel analytics, and Meta / Google Ads analysis on real scenarios; how you’d build an analytical skill with an AI agent
• Final conversation - culture, ways of working, team fit
• Paid trial period - short, real work, paid
• Offer - if it’s a fit, we align on terms and start date