Analytics Lead Manager: AI-Ready Data & Self-Service

Auxis; Bogotá; On-site; COP 167,400,000 - 256,680,000; Full time

Job summary

Auxis leads in Data & Analytics to design and deliver robust global data platforms enabling business solutions and high-quality analytics. The Analytics Lead (Manager) manages a team of analytics engineers delivering trusted, analytics-ready data products, semantic models, and self-service capabilities that turn enterprise data into actionable insight.

This leader defines the analytics roadmap, drives adoption and enterprise data literacy, ensures governed and AI-ready data consumption, and

Qualifications

• Bachelor’s degree in IT/CS/Engineering or analytics.
• Snowflake experience is required.
• Hands-on experience with Power BI and dbt is required.
• Preferred: experience in professional services or client service roles.

Responsibilities

• Align analytics roadmap with enterprise Data & Analytics strategy, business outcomes, and ROI.
• Define analytics service offerings (self-service reporting, curated datasets and semantic models).
• Establish standards for analytics-ready datasets and semantic models with trusted reporting.
• Sponsor data quality and observability for analytics outputs and SLAs for data freshness.
• Ensure governance-by-design across analytics and data consumption.
• Provide executive-level stakeholder management for analytics delivery commitments.

Skills

SQL

Python

Analytics engineering

Power BI

Machine Learning

Data modeling

Education

Bachelor’s degree in information technology, Computer Science, Engineering, Analytics, or related discipline

Tools

dbt

Snowflake

Informatica IDMC

Git

Job description

Auxis leads in Data & Analytics to design and deliver robust global data platforms enabling business solutions and high-quality analytics. The Analytics Lead (Manager) manages a team of analytics engineers delivering trusted, analytics-ready data products, semantic models, and self-service capabilities that turn enterprise data into actionable insight.

This leader defines the analytics roadmap, drives adoption and enterprise data literacy, ensures governed and AI-ready data consumption, and