AI Analytics Engineer

🕒 August 7

🇨🇴 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 the end-to-end delivery of AI agents for the embedded function, from problem identification through production adoption. • Identify high-friction workflows and iterate through testing to achieve stable deployments with active adopters and documented, quantified impact. • Create end-to-end documentation for each shipped agent, including inputs, outputs, failure modes, and resolution steps. • Enable teammates to run or maintain AI agents independently through a self-serve operations model. • Conduct structured discovery sessions with embedded-team stakeholders. • Score business problems by friction level, feasibility, and estimated impact and maintain a prioritized opportunity backlog. • Monitor the performance of shipped agents and identify enhancements based on usage and failure modes. • Implement documented improvements and validate gains in reliability, adoption, or output quality. • Translate business problems into pipelines, AI agents, models, or combinations of these solutions. • Build systems that automate recurring analytical work. • Ship data products with AI-assisted monitoring and operational visibility. • Deliver production-ready data solutions quickly using AI-first engineering practices.

🎯 Requirements

• Proven experience with SQL and data modeling, accelerated with AI. • Experience designing data models that AI agents can understand, maintain, and extend. • Strong SQL skills for querying and transforming large datasets, using AI to accelerate development, validate logic, and document transformations. • Experience applying AI-assisted testing and data quality validation. • Demonstrated experience with Python for building AI-powered data workflows. • Experience building Python applications and automations connecting AI agents with data systems. • Track record of delivering Python-based pipelines or AI agents that run reliably in production. • Experience defining specifications for inputs, outputs, transformations, and quality checks before implementation. • Familiarity with Claude Code, LiteLLM, or similar AI development tools. • Ability to demonstrate significant AI acceleration in delivering production-ready data pipelines. • Hands-on experience with dbt, Airflow, or equivalent orchestration frameworks. • Experience integrating AI capabilities into production pipelines, including intelligent transformations, anomaly detection, or workflow automation. • Ability to own data pipelines end to end, including the AI orchestration layer. • Strong production-scale experience with BigQuery, Snowflake, Redshift, or Databricks. • Experience using AI to optimize queries, improve documentation, and automate monitoring. • Ability to identify appropriate pipeline, AI agent, model, or combined solution for a business problem. • Experience building systems that automate recurring analytical work instead of relying on manual reporting. • Experience producing documentation enabling engineers and AI agents to maintain and extend data systems. • Experience shipping data products with AI-assisted monitoring and operational visibility. • Proven ability to deliver production-ready data solutions quickly using AI-first engineering practices. • Ability to work autonomously, prioritize effectively, and deliver high-quality solutions with minimal oversight. • Conversational English level is requested in the application form.

🏖️ Benefits

• Competitive compensation • Equity in the company • Benefits that go beyond the basics • Opportunity to work remotely • Professional growth opportunities • Feedback throughout the hiring process