Adidas

7 hours ago

Manager Omnichannel Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Own the development of omnichannel + brand analytics for the market in close partnership with the LAM Data & BI organization. Apply descriptive and advanced analytics to deliver data services that enable data-driven decisions, monitor omnichannel-product-channel performance, and connect insights to brand and commercial strategy. Lead ETL/ELT and analytics tool development using PySpark, SQL, and Databricks, and deliver automated Power BI reporting aligned to standards.

Location: Bogotá

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead the development of omnichannel analytics tools by designing, building, testing, and maintaining ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem, including quality assurance.
•Design and automate visualization and reporting outputs, including Power BI dashboards and reports aligned to DNA standards and refresh processes.
•Conduct omnichannel performance analysis by connecting omnichannel-product-channel performance to consumer lifecycle data to derive trends and opportunities.
•Perform hands-on exploration of data sets combining consumer and channel data to understand omnichannel performance and its impact on the consumer journey.
•Support stakeholders with omnichannel-product analytics by delivering actionable recommendations and advocating for data sources within the Dataverse team.

Key Requirements

•Must have strong SQL knowledge.
•Desired: knowledge in R and/or Python.
•Prefer experience with SAP, Tableau, Adobe Analytics, and other analytics tools.
•Experienced in data analysis using Microsoft Office Suite, especially Microsoft Excel and Power BI.
•At least 5 years of experience; experience implementing data platform projects (e.g., Databricks, Snowflake) is preferred; basic understanding of machine learning techniques.

Experience:5+ years

Skills:Data-orientedAttention to detailStructured working styleStakeholder communicationClear storytelling with data

Languages:English

Tech Stack:SQLRPythonSAPTableauAdobe AnalyticsMicrosoft Office SuiteMicrosoft ExcelPower BIDatabricksSnowflakePySparkPowerBiMachine Learning

Company Brief

Adidas

Global sportswear company designing, manufacturing, and selling athletic footwear, apparel, and accessories. Serves consumers and athletes through branded products, direct-to-consumer retail, and wholesale channels worldwide.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Herzogenaurach, Germany

Founded: 1949

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Adidas

7 hours ago

Manager Omnichannel Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Bogotá

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead the development of omnichannel analytics tools by designing, building, testing, and maintaining ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem, including quality assurance.
•Design and automate visualization and reporting outputs, including Power BI dashboards and reports aligned to DNA standards and refresh processes.
•Conduct omnichannel performance analysis by connecting omnichannel-product-channel performance to consumer lifecycle data to derive trends and opportunities.
•Perform hands-on exploration of data sets combining consumer and channel data to understand omnichannel performance and its impact on the consumer journey.
•Support stakeholders with omnichannel-product analytics by delivering actionable recommendations and advocating for data sources within the Dataverse team.

Key Requirements

•Must have strong SQL knowledge.
•Desired: knowledge in R and/or Python.
•Prefer experience with SAP, Tableau, Adobe Analytics, and other analytics tools.
•Experienced in data analysis using Microsoft Office Suite, especially Microsoft Excel and Power BI.
•At least 5 years of experience; experience implementing data platform projects (e.g., Databricks, Snowflake) is preferred; basic understanding of machine learning techniques.

Experience:5+ years

Skills:Data-orientedAttention to detailStructured working styleStakeholder communicationClear storytelling with data

Languages:English

Tech Stack:SQLRPythonSAPTableauAdobe AnalyticsMicrosoft Office SuiteMicrosoft ExcelPower BIDatabricksSnowflakePySparkPowerBiMachine Learning

Company Brief

Adidas

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Herzogenaurach, Germany

Founded: 1949

Glassdoor: 3.8

Website LinkedIn Glassdoor