Analyste Business

Dates: 2026-10-30 — 2027-12-31

Arrangements: Full time; hybrid. Onsite frequency not specified.

SPF Finances establishes and collects taxes, duties and levies fairly and correctly in Belgium. It also manages the related information and services for citizens, businesses and professionals. As one of the largest federal administrations, it develops modern, reliable digital solutions for its staff and the public.

The administration is completely rebuilding a large multilingual legal and regulatory knowledge base. Its architecture places data governance at the centre. The platform serves internal staff and external professionals, including accountants, tax advisers and lawyers. Delivery proceeds in phases with clear decision milestones.

The senior Business / Functional Analyst joins a small senior startup team before development scales up. The analyst connects business and IT by gathering needs, modelling information and preparing specifications. Those specifications guide AI-assisted development with systematic human review. The role also covers backlog management, functional validation, user acceptance testing and SQL-based investigation.

Top Reasons to Apply

Shape platform foundations

Public service impact

Data governance focus

Multilingual knowledge platform

Responsibilities

Facilitate workshops with content managers, business experts and internal and external key users.

Map current authoring, translation, validation, publication and unpublication processes.

Inventory existing application functions: search, taxonomy, subscriptions and user profiles.

Collect and prioritize requirements using MoSCoW, and build, manage and refine the product backlog.

Define personas and user journeys for internal staff, external professionals, citizens, API partners and AI tools.

Specify document classification (public, internal, restricted, embargo) and formalize publication rules with the business.

Write intent specifications to drive an AI-assisted development pipeline with clear acceptance criteria.

Validate increments functionally and coordinate user acceptance testing (UAT).

Must Have

Extensive business/functional analysis experience

Requirements engineering acceptance specifications

Confirmed SQL data proficiency

Data analysis visualization affinity

Native equivalent Dutch proficiency

Nice to Have

Data governance experience

API programme knowledge

Open API knowledge

Detailed Responsibilities and Skills

Additional Responsibilities

• Bridge business and IT, and investigate data directly using SQL to substantiate hypotheses.
• Required: Extensive Business / Functional Analyst experience in complex IT and data environments; senior profile and Expert Functional Analyst platform classification.
• Required: Strong requirements engineering and specification writing with clear acceptance criteria; Volère / Robertson is explicitly included in mandatory skills. Use cases and Gherkin are examples.
• Required: Expert Agile proficiency, including epics, user stories, story maps and backlog management; most recent experience may be at any time.
• Required: Dutch native or equivalent in narrative; platform instead allows Dutch or French at Native level. Preserve this inconsistency; do not assume either alternative is sufficient without clarification.
• Required: Good French knowledge in narrative; platform lists Dutch or French at Native level.
• Required: Good English knowledge in narrative and Active knowledge in platform.
• Required: Demonstrate motivation.
• Required: Demonstrate proactivity.
• Required: Demonstrate a results-oriented approach.
• Required: Maintain an overview of the wider context.
• Required: Pay attention to detail in data.

Technical skills

• Required: Expert Business Process Modelling Notation (BPMN); most recent experience may be at any time.
• Required: Mastery of UML and conceptual / information models, alongside process modelling.
• Required: Good SQL knowledge; platform level Confirmed; most recent experience may be at any time.
• Required: Data-oriented approach and affinity with data analysis and visualization; Power BI and Python are illustrative tools and are separately marked nice to have.
• Preferred: Data modelling and/or data governance experience is a major asset; the narrative permits either or both.
• Preferred: Data governance and/or data modelling experience is a major asset; platform Data Governance is Nice to have, experience at any time.
• Preferred: Knowledge of API programmes is a plus.
• Preferred: Knowledge of integration patterns including event-driven and pub/sub is a plus.