Analytics Engineer

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Addi

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🛍️ eCommerce

👥 B2C

Fintech • eCommerce • B2C

Addi es una empresa de tecnología que busca impulsar y habilitar el comercio digital en Latinoamérica. En Addi, quieren que las personas compren lo que quieran, cuando quieran, de forma fácil, rápida y transparente, sin intereses, sin costos adicionales, sin papeleo y sin complicaciones.

📋 Description

• Own Addi’s marketing data platform, pipelines, and integrations connecting data to Braze, AppsFlyer, GTM, Marketplace, and the App • Make marketing data reliable, efficient, governed, and self-service using AI agents as the default way of working • Map the marketing data platform end to end during the first 90 days • Document sources, jobs, tables, and integrations for people and AI agents • Identify pain points and share a prioritized roadmap • Add tests and alerts to critical marketing pipelines • Achieve at least 99% on-time data for key tables and integrations • Reduce data incidents by 50% and identify root causes within two business days • Ship at least two AI agents or agentic workflows into production by month six • Automate recurring marketing data work such as audience requests, data-quality triage, and documentation upkeep • Provide runbooks and improve deployed agentic workflows • Reduce the cost or runtime of main marketing pipelines by at least 30% by month nine • Remove unused or duplicated tables and jobs • Maintain a catalog of marketing tables, events, and attributes with owners and approval rules • Ensure marketing-tool data comes from official pipelines • Collaborate with Marketing, Growth, Marketplace, technical, and non-technical stakeholders

🎯 Requirements

• Proven experience writing and debugging complex SQL without AI • Proficiency with joins at scale, window functions, CTEs, and incremental logic • Ability to identify incorrect query results and explain why • Experience building clean, reusable tables and datamarts • Track record of building and operating ELT pipelines on a modern data platform • Hands-on experience with dbt, Airflow or similar, Git, and code reviews • Experience with SQL warehouses, notebooks, and scheduled jobs • Understanding of catalogs, schemas, tables, and permissions • Experience using tests, monitoring, and alerts; comfort with on-call and root-cause issue resolution • Ability to automate and integrate with Python • Experience building scripts and API integrations that others can run • Daily experience using coding agents such as Claude Code, Codex, Cursor, or similar • Ability to write specifications, delegate multi-step tasks to agents, and review results • Experience building agents or agentic workflows chaining LLM calls with tools such as SQL, APIs, or MCP servers • Understanding of agent failure modes, guardrails, and testing with real inputs • Experience validating AI output and implementing checks • Experience writing documentation and runbooks usable by teammates and AI agents • Ability to translate Marketing, Growth, and Marketplace needs into appropriate data solutions • Ability to manage an independent backlog and ship without close direction • Clear communication with technical and non-technical people • English is a must • Desirable: marketing tools such as Braze, AppsFlyer, or GTM • Desirable: reverse ETL or CDP experience • Desirable: advanced pipeline tools, Spark performance tuning, or a data platform certification • Desirable: LLM APIs, LiteLLM, or MCP servers • Desirable: A/B testing and basic statistics • Desirable: knowledge of data privacy rules, including consent, opt-out, and Habeas Data • Desirable: AWS and fintech or regulated-industry experience

🏖️ Benefits

• Competitive compensation • Equity in the company • Benefits that go beyond the basics • Opportunity to work remotely • Growth opportunity • Work alongside a world-class team • Interview recording opt-out without impact on candidacy • Feedback provided regardless of hiring outcome