dentsu

Manager Business Intelligence and Master Data Management CE

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SeniorOn-site·WarszawaFull-time

#435050·Dodano dwa miesiące temu·1

Źródło: dentsu

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Tech Stack / Keywords

Power BIDAXPower QueryEPMMaster Data ManagementSAPD365WorkdayPythonData Lake

Firma i stanowisko

dentsu Group is a global marketing communications network with 65,000 experts across four regions: Japan, the Americas, EMEA, and APAC. The group includes brands such as Carat, iProspect, Amplifi, dentsu X, and Dentsu Creative, headquartered in Tokyo. The role is within Dentsu Polska Sp.zo.o. based in Warsaw.

Wymagania

Bachelor’s degree in Finance, Business Administration, Data Analytics, or related field.
Proven experience in financial or business controlling, data management, and reporting.
Proficiency in Power BI including DAX and Power Query.
Strong understanding of EPM systems, master data structures, and enterprise reporting frameworks.
Excellent analytical, problem-solving, and communication skills.
High attention to detail and data accuracy.
Ability to collaborate effectively in an international and cross-functional environment.

Preferred Experience:

Experience with ERP systems such as SAP, D365, or Workday.
Familiarity with automation tools or scripting like Python and Power Automate.
Experience with enterprise data lakes and finance structures.
Exposure to agentic or AI-driven analytics frameworks is a plus.

Obowiązki

Support financial (Project and Client P&L) and operational controlling processes including budgeting, forecasting, and variance analysis.
Ensure accuracy and consistency of financial and performance data across systems.
Contribute to enterprise performance management (EPM) initiatives.
Maintain and govern key master data across finance and business systems.
Define and implement data quality standards and harmonization processes.
Collaborate with IT, EMEA, and business teams to ensure MDM alignment within EPM tools and the Samurai data lake.
Design, develop, and maintain Power BI dashboards and reports providing actionable business insights.
Automate data pipelines and integrate multiple data sources to improve reporting efficiency.
Support stakeholders with ad hoc analysis and data visualization best practices.
Identify and implement process automation and optimization opportunities.
Partner with cross-functional teams across CE and EMEA to enhance data and reporting flows.

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