Manager Omnichannel Analytics

Adidas
Bogotá
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Data-oriented","Attention to detail","Structured working style","Stakeholder communication","Clear storytelling with data"]

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.

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FursaFursa
Adidas
Adidas
1 month ago

Manager Omnichannel Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 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
Glassdoor: 3.8
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