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.
