Senior Web Analyst

🕒 September 4

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧐 Analyst

👻 Ghost score 13%

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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Atomic - Remote Jobs

WebsiteLinkedInAll Job Openings

1 - 10 employees

📣 Marketing

📦 Logistics

✈️ Travel

Marketing • Logistics • Travel

Atomic - Remote Jobs is a recruitment platform that connects tech professionals in Latin America and Canada with remote career opportunities at startups and established companies worldwide. It operates a remote job board and offers personalized candidate support and matching, focusing on roles in engineering, design, marketing, and operations while emphasizing transparency, long-term career fit, and remote-first work arrangements.

📋 Description

• Own data ingestion and pipeline architecture across paid media platforms including Meta, Google Ads, LinkedIn, TikTok, and programmatic • Build custom Python connectors for sources not natively supported • Architect scalable pipelines from source systems through dashboards • Build and maintain CRM data connections for Slate, Salesforce, and HubSpot • Route, optimize, and store raw and processed data in Google BigQuery • Design efficient schemas for complex multi-source marketing data, including granularity, normalization, and slowly changing dimensions • Manage partitioning, clustering, and storage strategy to control query cost and performance • Build SQL schemas that map, blend, and organize multi-channel client data • Develop modular, version-controlled, documented dbt or Dataform transformation pipelines • Maintain CI/CD pipelines with GitHub Actions and automated testing • Enforce strict data segregation across multi-client environments • Create performant data views for Looker Studio dashboards and automated Google Sheets reports • Translate reporting requirements into warehouse models with the Data and Analytics Manager and client teams • Monitor pipeline health, resolve API breaks, minimize latency, and implement validation frameworks • Troubleshoot discrepancies across source, warehouse, and BI layers to root cause • Proactively flag data quality risks to leadership

🎯 Requirements

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment • Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel) • Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling • Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines • Python proficiency for custom API connections and pipeline automation • Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot) • A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance • Proficiency with Git and collaborative development workflows • Proven ability to manage multi-client data environments with strict data segregation • Strong communication skills that turn complex data workflows into clear narratives for non-technical audiences • Education marketing experience is especially valued • Experience integrating AI-driven insights or machine learning models into marketing data pipelines • Familiarity using AI or LLM tools for performance forecasting, automated audience segmentation, or marketing workflows • Experience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architecture • Experience using AI/ML-driven anomaly detection to monitor pipelines and proactively flag data quality issues

🏖️ Benefits

• Remote role with the flexibility that comes with a distributed, async-friendly team • Competitive compensation based on experience and location • A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure • The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world • Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data