Key Skills

Job Description

We are seeking a Data Business Analyst based in Hoofddorp, Netherlands, or Sofia, Bulgaria. About Barentz Barentz is a leading global specialty ingredients solution provider. Sourcing branded ingredients from top manufacturers worldwide, our ingredient experts provide value-added technical support—including pre-mixing, blending, formulation, and laboratory testing across EMEA, the Americas, and Asia-Pacific. Established in 1953, Barentz operates in over 70 countries with more than 2,700 employees, serving 27,000+ customers and generating a turnover of €2.4 billion. Guided by our core values—One Team, Knowledge-Driven, Strong Partners, Entrepreneurial, Change, and Integrity—we empower our people to drive growth and make an impact. Role Overview As a Data Business Analyst within our Data & Analytics function, you are the bridge between business stakeholders across Barentz and our data team. You work with leaders, process owners, subject-matter experts and day-to-day users across functions and regions, lead the conversation about what they need, and make sure it is delivered in a form they can trust. This is a people-first role. Your success will come from how well you listen, facilitate, challenge and align — not from writing code. Our dedicated data engineers build and run the data pipelines and infrastructure; you own the business side: shaping cross-functional requirements, steering stakeholders toward workable solutions, and making sure data and insights are accurate, relevant and trusted. Key Responsibilities Stakeholder Leadership & Moderation: Lead and moderate discussions with stakeholders across commercial, finance, operations, supply chain, procurement and other business functions, from senior leaders to day-to-day users. Run discovery workshops, balance competing priorities, manage expectations, and drive groups to clear, agreed decisions. Business Discovery & Requirements: Identify reporting, insight and data gaps across the business, help define the measures that matter, and turn business challenges into clear functional requirements the data engineering team can build from. Feasibility & Solution Advisory: Act as the pragmatic advisor in scoping discussions. Assess what is achievable within our systems and processes, challenge unrealistic requests constructively, and propose workable alternatives. Business Data Ownership & Validation: Own and coordinate business definitions and data quality across relevant domains. Define acceptance criteria, lead User Acceptance Testing (UAT), check reported figures against source systems, and make sure reporting is accurate and trusted across the organization. Reporting & Insight Design: Translate business topics across functions into clear dashboard, report and analytical requirements (e.g., Power BI) that support operational, tactical and strategic decision-making. Communication & Alignment: Keep business stakeholders, process owners, data engineers and other delivery partners aligned on priorities, progress and trade-offs, and explain technical constraints in plain business language. What You Bring Must-Haves: Communication: Excellent written and verbal communication skills, with the confidence to present to senior business leaders and explain complex topics simply. Stakeholder Management & Facilitation: A proven track record of leading workshops and meetings, moderating conflicting views, managing expectations and building trust with stakeholders across functions and at all levels. Experience: Around 5 years in a stakeholder-facing role such as Business Analyst, Data Analyst, Business Partner, Business Translator or Consultant, ideally working across multiple business functions. Business Acumen: A good understanding of how core business functions operate and how their processes, decisions and performance measures connect across an organization. Structured Thinking: The ability to break a business problem down into clear requirements, and a conceptual understanding of how data flows from business systems such as ERP, CRM and other operational platforms into reports. No coding required. Languages: Fluent English, written and spoken. Education: Bachelor’s degree in Business, Economics, Information Systems or a related field, or equivalent practical experience. Nice-to-Haves (helpful, but not required): Industry Experience: Prior experience in specialty ingredients, food, chemicals, B2B distribution, wholesale or supply chain is very welcome. Technical Skills: Hands-on experience with SQL, Power BI or similar reporting tools. Systems Experience: Familiarity with Microsoft Dynamics 365 (Finance & Operations, Customer Engagement), Azure or Microsoft Fabric. Functional Knowledge: Understanding of one or more business domains such as finance, commercial, operations, supply chain, procurement or HR. Data Concepts: Awareness of data modelling concepts (e.g., dimensional modelling / Kimball). Don’t tick every box? If you are a strong communicator who enjoys leading business conversations, we would still like to hear from you. What We Offer Autonomy & Impact: A high level of ownership in shaping business analytics and trusted decision support for a global market leader. Collaborative Culture: Direct exposure to executive stakeholders, an entrepreneurial environment and short lines of communication. Growth: The opportunity to build your data and technical skills alongside an experienced data engineering team. Job ID: No.357

Core Responsibilities

Lead stakeholder discussions and discovery workshops across business functions, translating business challenges into clear, feasible requirements for the data engineering team. Coordinate business data definitions and quality, validate reporting through acceptance testing, and keep stakeholders aligned on priorities, progress, and trade-offs.

Requirements

Requires around five years of experience in a stakeholder-facing role, strong communication and facilitation skills, business acumen, and the ability to translate business problems into structured requirements. Fluent English and a bachelor’s degree in a relevant field or equivalent practical experience are required; coding is not required.

Benefits

• Autonomy and Impact
• Collaborative Culture
• Professional Growth