Sparagus
Senior Data Business Analyst
Skills
24 days ago
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Important information
Contract type:
Permanent
Location:
Zaventem, Belgium
Work mode:
Onsite
Published on:
1 October 2026
What they need
We are looking for an experienced Senior Business & Data Analyst to join a Data Insight team and contribute to the transformation and modernization of a large-scale data ecosystem.
In this role, you will act as a strategic bridge between business stakeholders and Data Engineering teams , ensuring that business requirements are translated into effective, scalable and reliable data solutions.
A key part of the position will be to lead and maintain existing enterprise reporting solutions within a legacy SAP BW environment , while contributing to the design and implementation of modern data solutions based on Google Cloud Platform (GCP) and BigQuery .
Key Responsibilities :
Business & Data Analysis
- Gather, analyze and translate business needs into detailed data requirements .
- Define data mappings, transformation rules, KPIs and dashboard requirements .
- Develop comprehensive Business Requirement Documents (BRDs) and Functional Specifications .
- Document data flows, extractors, data lineage and integration requirements.
- Act as the main interface between business stakeholders and technical Data teams .
- Perform impact and exploratory data analysis and provide relevant datasets, dashboards or insights to business users.
- Support business teams through change management and ensure that delivered solutions are properly understood and adopted. Job Description - Sr Business &…
Data Solution Design & Analysis
- Collaborate with Data Engineers to design and document conceptual and logical data models .
- Use SQL to profile source data, validate business rules and perform data quality assessments.
- Contribute to the design of solutions integrating with the BigQuery Enterprise Data Warehouse .
- Ensure functional consistency across legacy SAP BW reporting and modern cloud-based data solutions.
- Design and execute test scenarios to validate developments and prevent regressions.
- Work closely with DWH Developers, Data Engineers, DataViz specialists and Data Science teams to ensure end-to-end solution delivery.
SAP BW, Reporting & Support
- Maintain and support existing enterprise reporting solutions within SAP BW .
- Provide expert support for the legacy SAP BW environment while helping define smooth migration paths towards modern cloud architectures.
- Lead root-cause analysis for data discrepancies and pipeline failures .
- Maintain governance over reporting assets, KPIs and the business glossary , in collaboration with the Data Governance team.
Required Skills & Experience
- Extensive hands-on expertise with SAP BW 7.5 on HANA .
- Strong knowledge of SAP BW components including:
- Datasources
- Advanced DataStore Objects ( ADSOs )
- CompositeProviders
- InfoObjects
- Process Chains
- OpenHub extraction
- BEx Queries
- Strong understanding of Data Warehouse principles , including dimensional modelling, ETL and Enterprise Data Models.
- Advanced SQL skills, including complex joins.
- Strong experience with data manipulation and data modelling .
- Experience developing or using BI solutions such as MicroStrategy, Looker, Tableau or similar.
- Good understanding of Data Visualization concepts and best practices.
- Understanding of modern Big Data / Cloud technologies such as GCP or Azure .
- Strong analytical skills with excellent attention to detail and data accuracy.
- Ability to communicate effectively with both business and technical stakeholders .
- Strong leadership and collaborative skills.
Nice to Have
- Understanding of Machine Learning fundamentals and core modelling algorithms .
- Previous experience within the Retail industry .
- Experience with SAP Retail MM and SD modules .
Languages
Excellent written and verbal communication skills in:
- French OR Dutch
- English
If you have strong SAP BW expertise combined with a Business/Data Analyst mindset and enjoy working at the intersection of business requirements, reporting and modern data platforms, we would be happy to hear from you.
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