Manager, Omnichannel Analytics

Jobtailor; Bogotá; Presencial; COP 90.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a Senior Omnichannel Analytics Engineer to drive the design, build, test, and maintenance of ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem. You will develop Power BI dashboards, monitor omnichannel performance, and connect consumer lifecycle data to reveal buyer behavior insights.

The role emphasizes data storytelling with actionable recommendations, QA to ensure accuracy, and automation of production tasks.

Formación

• Bachelor-level or higher in Business Intelligence, Data Science, IT, or related field.
• 5+ years of experience in omnichannel analytics a plus.
• SQL proficiency is mandatory.
• Python or R knowledge desirable.
• Experience with Databricks or similar data platforms.
• Experience with Power BI and other visualization tools.
• Basic understanding of machine learning techniques.
• English communication (written and spoken) at B2+ level.

Responsabilidades

• Lead development of omnichannel analytics tools across LAM via ETL/ELT pipelines (PySpark, SQL, Python) in Databricks.
• Ensure data accuracy through QA processes.
• Create and optimize data visuals with advanced techniques.
• Automate production processes for timely outputs.
• Design Power BI dashboards aligned to DNA standards.
• Monitor omnichannel performance and connect to consumer lifecycle data.
• Deliver actionable insights with clear storytelling and calls to action.

Conocimientos

ETL/ELT Development

Power BI

Data Visualization

Data Analysis

Omnichannel Analytics

Storytelling with Data

Communication Skills

Educación

Professional degree in BI/DS/Engineering/IT/Finance

Herramientas

PySpark

SQL

Python

Databricks

Snowflake

SAP

Tableau

Adobe Analytics

Microsoft Excel

Power BI

Descripción del empleo

• 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

ATS Optimization Keywords

Hard Skills

• PySpark


• SQL


• Python


• Data Visualization


• Data Analysis


• Machine Learning Techniques


• Microsoft Excel


• Power BI


• Databricks


• Snowflake

Soft Skills

• Storytelling with Data


• Communication Skills

Industry Keywords

• Business Intelligence


• Data Science


• Consumer Lifecycle Data


• Buyer Behavior Understanding

Tools & Technologies

• SAP


• Tableau


• Adobe Analytics


• Microsoft Office Suite