A

Manager Value Creation Management (m/f/d)

adidas•Technology
HerzogenaurachFull-timeOn sitelast week
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📌PURPOSE & FUNCTION DESCRIPTION

At adidas, our Finance function strives to be a trusted business partner supporting key management decisions and company efforts to drive growth and value creation. The role combines deep finance expertise, ability to leverage advanced analytics, while driving automation & finance process improvements via data engineering capabilities. As an individual contributor, this position plays key role in developing strategic insights, driving digital finance transformation, and enterprise-wide decision support.

📌KEY RESPONSIBILITIES

Lead complex financial and business analyses to identify value creation opportunities.
Support strategic projects with short turn-around requirements.
Design and implement Power BI dashboards and self-service reporting solutions.
Develop data pipelines and analytical solutions using SQL, Python and Databricks.
Drive automation and digitalization of Finance processes.
Translate complex datasets into actionable recommendations and executive-level insights.
Lead cross-functional transformation initiatives and analytics workstreams.
Support strategic planning, forecasting, scenario modelling and performance management activities.
Leverage AI-enabled tools and advanced analytics techniques.

📌KNOWLEDGE, SKILLS AND ABILITIES

Strategic analytical rigor, strong conceptual capabilities and structured problem solving.
Experience with Power BI, SQL, Python and Databricks is a strong benefit.
Strong finance and business acumen.
Ability to synthesize key conclusions and core messages, drive executive-level communication and effectively manage different stakeholders are critical skills.
Data engineering, automation and analytics are preferred.
Ability to influence without formal authority.
Curiosity, willingness to learn and flexibility to operate outside the comfort zone.
Strong drive and end to end ownership to deliver high-quality results.

📌REQUISITE EDUCATION AND EXPERIENCE

University degree in Finance, Economics, Data Science, Engineering or related field.
Prior experience in Finance, Analytics, Data Science or Consulting.
Experience with Power BI, SQL, Python and Databricks is an advantage.
Experience with SAP and SAP S/4HANA.
Knowledge of AI and machine learning applications in Finance is a plus.
Fluent English.

Job overview

Posted
3 October 2026
Location
Herzogenaurach
Employment type
Full-time
Work model
On site

Company

A

adidas

Wolfsburg
View company profile
Source

This job listing comes directly from the employer’s career site and is hosted there.

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