3 weeks ago

Analytics Business Partner, Category & Buying

Kramp

Varsseveld

3 weeks ago

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The Analytics Business Partner drives cross-functional teams on data-driven projects to create lasting impact at Kramp. They collaborate with the Director of Analytics, Insights, and Transformation and commercial leaders to set priorities, execute projects, and lead cross-domain analysis. The role requires 7+ years of experience in project/change management, business analysis, data analytics, or strategy consulting, with strong commercial understanding and analytical capabilities.

RemoteFull-timeSeniorProject ManagementChange Management

Analytics Business Partner, Category & Buying

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RemoteFull-timeSeniorProject Management

Salary

Not specified

Work Location

Varsseveld, Gelderland, Netherlands, NL

Work Model

Remote

Experience Required

7 years

Employment Type

Full-time

Experience Level

7+ years of professional experience

Core Qualifications

Technical (Must-have)

Project ManagementChange ManagementBusiness AnalysisData AnalyticsStrategy ConsultingBI ReportingStakeholder ManagementCategory ManagementProcurementProduct ManagementB2B WholesaleCommunicationInterpersonal SkillsIntercultural AwarenessEnglish

Soft Skills

CommunicationInterpersonal SkillsIntercultural AwarenessIndependent ThinkingRelationship ManagementPeople Leadership

Preferred Qualifications

Technical (Nice-to-have)

Code LiteracyAgricultural ExperienceOther European LanguagesEconomicsBusiness AdministrationBusiness Engineering

Key Responsibilities

•Sit as part of the Management Team of the Category & Buying domain, providing input into priorities and strategic initiatives and maintaining frequent updates and alignment with Category and Procurement Directors.
•Be the “right-hand” to the VP of Category & Buying, Directors and Heads of Categories as they pursue their commercial objectives, ensuring close collaboration with Commerce leadership and alignment of projects with commercial priorities and organizational support.
•Work alongside Procurement and Category managers and their teams as key users, facilitating them with data, analytics and AI to accelerate their performance and enable stronger data-driven decision making.
•Lead data-driven transformation projects end-to-end, including strategic priority setting with leadership, project planning and resourcing, leading analysis and interfacing with internal and external teams for input, day-to-day project management and execution, stakeholder management and implementation.
•Advocate and educate business leaders on the importance of data, analytics and insights in decision making, while facilitating stronger connections between Category & Buying and the AI&T department.

AnalyticsBusiness PartnerCategory & BuyingData-drivenTransformationB2B WholesaleAgricultureFull-timeRemoteSenior

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationInterpersonal SkillsIntercultural AwarenessIndependent ThinkingRelationship ManagementPeople Leadership

Key Responsibilities

•Sit as part of the Management Team of the Category & Buying domain, providing input into priorities and strategic initiatives and maintaining frequent updates and alignment with Category and Procurement Directors.

•Be the “right-hand” to the VP of Category & Buying, Directors and Heads of Categories as they pursue their commercial objectives, ensuring close collaboration with Commerce leadership and alignment of projects with commercial priorities and organizational support.

•Work alongside Procurement and Category managers and their teams as key users, facilitating them with data, analytics and AI to accelerate their performance and enable stronger data-driven decision making.

•Lead data-driven transformation projects end-to-end, including strategic priority setting with leadership, project planning and resourcing, leading analysis and interfacing with internal and external teams for input, day-to-day project management and execution, stakeholder management and implementation.

•Advocate and educate business leaders on the importance of data, analytics and insights in decision making, while facilitating stronger connections between Category & Buying and the AI&T department.