- Lead the development of Omnichannel Analytics tools among LAM through the design, build, test, and maintenance of ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem
- Ensures its accuracy through quality assurance processes
- Applies a variety of visualization techniques and designs the content and appearance of data visuals
- Operationalizes and automates activities for efficient and timely production of them
- Designs and develops Power BI dashboards and reports aligned to DNA standards
- Monitors omnichannel-product-channel performance
- Connects it to consumer lifecycle data, to elevate our buyer behavior understanding
- Delivers actionable recommendations, a strong storytelling behind data and clear calls to action

Requirements
- Professional degree in Business Intelligence, Data Science, System Engineering, IT, Industrial Engineering, Economics, Business Administration, Finance or similar
- Experience in omnichannel analytics is a plus
- >= 5 Years’ experience
- Knowledge in SQL is a MUST
- Knowledge in R and/or Python is desired




- Knowledge in SAP, Tableau, Adobe Analytics or other tools is preferred
- Experienced in data analysis with strong skills in Microsoft Office Suite (specially Microsoft Excel and PowerBi)
- Experience implementing projects or processes in data platforms such as Databricks, Snowflake, etc.
- Basic understanding of machine learning techniques.
- Ability to communicate in English (written and spoken) fluently – B2+.

Demonstrates expertise in developing and maintaining ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem, while delivering actionable insights through data visualization and analysis. Proficient in creating Power BI dashboards and reports, with a strong understanding of omnichannel analytics and consumer behavior.
Highest-signal resume keywords
- ETL/ELT Pipeline Development
- Power BI Dashboard Design
- SQL Proficiency
- Data Analysis
- Omnichannel Analytics

AT

📌 Manager, Omnichannel Analytics (Bogotá)
🏢 Jobtailor
📍 Bogotá