Manager Omnichannel Analytics

Manager Omnichannel Analytics

Department: Data and Business Intelligence

Direct Reporting Line: Sr Manager Data and Business Intelligence

Indirect/Second Reporting Line:

Subsidiary/Country: LAM

Location: Colombia

GSMS Grade: M4

Personnel managed: No

Purpose & Overall Relevance for the Organization:

As a Manager Omnichannel Analytics at adidas you are responsible - in close cooperation with LAM Data & BI organization - for the development of the omnichannel + brand analytics function within the market, using global frameworks for data governance, integration, reporting and optimization.

Within your practice, applying both descriptive and advanced analytics, you will oversee the development and delivery of cutting-edge analytics services to market stakeholders, enabling them to make data driven decisions. Based on defined data sources, you will lead our omnichannel performance understanding and will provide insights that will help us to achieve our regional plans.

This role has crucial conversations with Business Intelligence & Data and Analytics teams in order to bring efficiencies in terms of data management and reporting (big data platform integrations, cloud services, visualization etc.). Besides that, you will be in close contact with our Brand and Commercial teams, to connect our ecosystem learnings to their strategy.

Key Responsibilities:

Data Engineering ---------------------------------------------------------------------------------

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. Automates refresh processes and ensures consistency with Gold-layer semantic models.

Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts.

Data Analytics ------------------------------------------------------------------------------------

Monitors omnichannel-product-channel performance. Connects it to consumer lifecycle data, to elevate our buyer behavior understanding and derive trends + opportunities within adidas channels and categories.

Performs hands-on exploration of data sets and quantums, combining consumer and channel data to understand omnichannel performance and its impact on the overall consumer journey.

Manages demand management for insights, data and other analytics services within your area of responsibility.

Collaborates closely with Business Intelligence & Data and Analytics teams to enable and refine analytical tools, providing continuous feedback to improve functionality and relevance.

Consulting ----------------------------------------------------------------------------------------

Supports regional and market stakeholders on the value and use of omnichannel - product analytics.

Delivers actionable recommendations, a strong storytelling behind data and clear calls to action. Translates business insights into high-quality, engaging and easy-to-understand outputs.

Acts as a data-sources advocate inside Dataverse team, understanding what's behind their structure and functioning among LAM. Establish a dataverse culture in the organization, contributing with its adoption in Brand teams.

Knowledge Skills and Abilities:

• 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.

• Data oriented person which enjoys working with numbers and large datasets, coding and translating it into digestible analytical products and/or valuable insights. High detail attention and structured professional when managing, transforming and integrating different datasources.

• Professional who enjoys interacting with different stakeholders, comfortable working complex topics with both technical and non-technical teams.

• Strong communication skills, comfortable presenting at various organizational levels both in person and remotely.

• Omnichannel analysis and commercial data-engineering project experience is a plus.

Requisite Education and Experience / Minimum Qualifications:

• Professional degree in Business Intelligence, Data Science,System Engineering, IT, Industrial Engineering, Economics, Business Administration, Finance orsimilars.

• Experience in omnichannel analytics is a plus.

• Ability to communicate in English (written and spoken) fluently – B2+.

• >= 5 Years’ experience.