Manager, Omnichannel Analytics

adidas

Manager of Omnichannel Analytics at adidas responsible for developing omnichannel and brand analytics functions. Leading analytics services for data-driven decisions in the market.

Posted 7/23/2026full-timeBogota • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 DevelopmentPower BI Dashboard DesignSQL ProficiencyData AnalysisOmnichannel Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PySparkSQLPythonData VisualizationData AnalysisMachine Learning TechniquesMicrosoft ExcelPower BIDatabricksSnowflake

Soft Skills

Storytelling with DataCommunication Skills

Tools & Technologies

SAPTableauAdobe AnalyticsMicrosoft Office Suite

Industry Keywords

Business IntelligenceData ScienceConsumer Lifecycle DataBuyer Behavior Understanding

Tech Stack

Tools & technologies

ETLPySparkPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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+.

Benefits

Comp & perks

Health insurance
Professional development
Paid time off